System, method, and database for processing transactions

ABSTRACT

A check verification system and method that (a) uses a customer&#39;s check ID as a unique identification code, (b) stores customer information in a local customer database for that store. Each customer is assigned one of three check verification statuses: POSITIVE, NEGATIVE, and CAUTION. The CAUTION status is assigned to first time customers, and the customer is automatically converted to a POSITIVE status if the customer&#39;s initial check(s) clears—those customers who achieve a POSITIVE status, but stop frequenting the store can be reset to the CAUTION status. In addition, a CALL MANAGER conditional check verification response may be returned for those customers with a POSITIVE status but who attempt a check transaction that meets certain predetermined transactional criteria (such as check frequency or dollar amount). A multiple-store architecture can be used in which each store has a local customer database, and in which global customer information is communicated between the stores as preselected intervals.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No. 08/117,951 filed Aug. 30, 1993 by David W. Deaton and Robert S. Wood entitled “Check Transaction Processing Method and System,”now abandoned; which is a continuation of U.S. application Ser. No. 07/826,255 filed Jan. 24, 1992 by David W. Deaton and Robert S. Wood entitled “Check Transaction Processing Method and System,” abandoned; which is a continuation of U.S. application Ser. No. 07/345,475 filed May 1, 1989 by David W. Deaton and Robert S. Wood entitled “Check Transaction Processing Method and System,” abandoned.

This application is related to U.S. Pat. No. 5,201,010 issued Apr. 6, 1993 entitled “Method and System for Building a Database and Performing Marketing Based upon Prior Shopping History”; U.S. Pat. No. 5,237,620 issued Aug. 17, 1993 entitled “Check Reader Method and System for Reading Check MICR Code”; U.S. Pat. No. 5,305,196 issued Apr. 19, 1994 entitled “Check Transaction Processing, Database Building and Marketing Method and System Utilizing Automatic Check Reading”; U.S. Pat. No. 5,327,508 issued Jul. 5, 1994 entitled “Method and System for Building a Database and Performing Marketing Based upon Prior Shopping History”; U.S. Pat. No. 5,388,165 issued Feb. 7, 1995 entitled “Method and System for Building a Database and Performing Marketing Based upon Prior Shopping History”; U.S. Pat. No. 5,430,644 issued Jul. 4, 1995 entitled “Check Transaction Processing, Database Building and Marketing Method and System Utilizing Automatic Check Reading”; U.S. Pat. No. 5,448,471 issued Sep. 5, 1995 entitled “Check Transaction Processing, Database Building and Marketing Method and System Utilizing Automatic Check Reading”; U.S. Pat. No. 5,592,560 issued Jan. 7, 1997 entitled “Method and System for Building a Database and Performing Marketing Based upon Prior Shopping History”; U.S. Pat. No. 5,621,812 issued Apr. 15, 1997 entitled “Method and System for Building a Database for use with Selective Incentive Marketing in Response to Customer Shopping Histories”; U.S. Pat. No. 5,638,457 issued Jun. 10, .1997 entitled “Method and System for Building a Database for use with Selective Incentive Marketing in Response to Customer Shopping Histories”; U.S. Pat. No. 5,642,485 issued Jun. 24, 1997 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories”; U.S. Pat. No. 5,644,723 issued Jul. 1, 1997 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories”; U.S. Pat. No. 5,649,114 issued Jul. 15, 1997 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories”; U.S. Pat. No. 5,659,469 issued Aug. 19, 1997 entitled “Check Transaction Processing, Database Building and Marketing Method and System Utilizing Automatic Check Reading”; U.S. application Ser. No. 08/096,921 filed Jul. 23, 1993 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories”; U.S. application Ser. No. 08/302,521 filed Sep. 6, 1994 entitled “Method and System for Building a Database for use with Selective Incentive Marketing in Response to Customer Shopping Histories”; U.S. application Ser. No. 08/457,300 filed Jun. 1, 1995 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories”; U. S. application Ser. No. 08/701,456 filed Aug. 22, 1996 entitled “Check Transaction Processing, Database Building and Marketing Method and System Utilizing Automatic Check Reading”; U.S. application Ser. No. 08/734,675 filed Oct. 21, 1996 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories”; U.S. application Ser. No. 08/820,020 filed Mar. 12, 1997 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories”; U.S. application Ser. No. 08/815,756 filed Mar. 12, 1997 entitled “Method and System for Selective Incentive Point-of-Sale Marketing in Response to Customer Shopping Histories: U.S. application Ser. No. 08/896,840 filed Jul. 18, 1997 entitled “Method and System for Building a Database for use with Selective Incentive Marketing in Response to Customer Shopping Histories”.

TECHNICAL FIELD OF THE INVENTION

This invention relates to transaction processing and analysis systems, including check verification systems, and more particularly, to a method and system for processing and developing a local customer database of customer information, such as check verification status and transaction frequency and dollar volume over specified intervals, that can be used for check verification, marketing and other customer relations purposes.

BACKGROUND OF THE INVENTION

Retail and other business establishments that serve a large number of customers generally have a problem obtaining transactional information about their customers, such as for identifying new customers and determining transactional patterns for repeat customers (such as transactional frequency and dollar volume).

For those stores that experience a high volume of check transactions, an immediate customer information problem is determining whether to authorize a check transaction in the typical situation where the sales clerk does not personally know the purchaser. Beyond this immediate problem of check verification, these stores have a broader need for gathering transactional information that could be used in developing customer profiles useful in targeting advertising, marketing and promotions.

For example, a typical grocery store does a high transactional volume with checks comprising a significant percentage of the total transactions (typically as much as 85%). These businesses strive for maximum efficiency in completing transactions at the checkout counter, which results in a minimum of contact between the customer and the sales clerk. In this sales environment, neither clerks nor store managers typically develop any significant personal relationship with an individual customer.

Since check transactions account for such a significant percentage of a grocery store's business, these stores naturally make an effort to minimize the number of bad checks that will be returned. Typically, the store will require an additional piece of identification, such as a driver's license and/or a major credit card. However, this requirement for additional identification reduces the efficiency of the checkout process, and inconveniences the significant majority of check transaction customers who do not write bad checks—typically, a grocery store's bad check experience will be approximately 2% of its check transactions.

Thus, check verification presents a store with problems in customer relations and risk management. A store naturally seeks to improve customer relations with the great majority of customers who do not present check transaction problems by efficiently and quickly authorizing check transactions. However, the store must guard against the financial risks from customers who do write bad checks, either as part of a concerted bad check scheme or as a result of less larcenous conduct that may range from simple bookkeeping mistakes to overly aggressive check floating. In the former case, bad check risk is greatly dependent upon abnormal check transaction activity over a given interval. In the latter cases, the bad check risk is greatly dependent upon check transaction history (total check transaction frequency and dollar volume at a store).

The check transaction risk management problem has two principal aspects—the risk that a person will write a bad check and the risk that a bad check cannot be recovered. Again, both of these risk factors are greatly dependent upon a customer's historical check transaction activity. As the total number of check transactions by a customer at a particular store increases, both the risk that the customer will write a bad check decreases, and more significantly, the risk that store will not be able to recover on a bad check decreases.

For example, a customer with fewer than 200-300 check transactions at a store presents a relatively high risk in terms of recovery on a bad check, while a customer with more than 600-700 check transactions presents a minimal risk. Thus, a store practicing risk management should put substantially more restrictions in terms of check transaction frequency and total dollar volume over given intervals in the former case than in the latter.

These risk management problems are multiplied in the case of multiple store businesses, particularly in the case of concerted bad check cashing schemes. In that case, the typical pattern is to move from store to store within a relatively short period of time.

Beyond these check verification and risk management problems, grocery stores have a broader problem in accumulating customer information because of the emphasis on minimizing the amount of time required for a sales transaction, and the attendant impersonality of the customer relationship. Thus, it is extremely difficult to develop any meaningful customer profiles, or to identify customer groups such as regular customers and new customers who might become regular customers. If a store could accumulate more detailed customer information, customer profiles could be developed and used for targeted advertising, marketing and promotional programs.

Accordingly, a need exists for a transaction processing system for individual stores (in both single and multiple store environments) that facilitates check transactions by improving the efficiency of the check verification process, and that maintains a local customer database containing transactional information about the store's customers useful for check verification risk management, and for other customer relations purposes such as identifying new customers and profiling regular customers.

Check or credit verification systems are commonly used today to verify check/credit transactions. Typically, these systems include a negative-status database of individuals for whom check or credit transactions will not be authorized (for example, because of an outstanding bad check). In response to requests for check transaction verification, these systems indicate that the customer's status is either positive (transaction anthorized) or negative (transaction not authorized).

U.S. Pat. Nos. RE.30,579, RE.30,580, and RE.30,821 (Goldman) disclose a system for commercial retail establishments in which customer records are identified by arbitrary identification information such as a driver's license number and contain some customer status and transactional data (such as bad check history and frequency of checking transactions in a given period). For each check transaction, the clerk enters into a transaction terminal the customer's arbitrary identification. Such systems have not been commercially practical, because store customers dislike having to identify themselves, particularly when they have been long-time customers of the store.

In the systems disclosed by Goldman, if the customer database contains a corresponding customer record, a customer status indication (positive or negative) is returned to the clerk. If the customer database does not contain a corresponding customer record, the system creates a new record, and indicates first-time/interim status for the customer. The database is regularly updated by changing customer status to reflect check transaction experience or the sufficient passage of time for check clearance to allow transfers from first-time/interim status to positive status. Such first-time/interim status as taught by Goldman is dangerous for the store owner, as a customer can gain access to a positive indication level, thus enabling the cashing of many checks in a short time period, by the clearing of only a single check.

Existing check transaction processing systems are disadvantageous for high-volume check transaction operations. In particular, the Goldman patents do not disclose a practical system for businesses to efficiently verify check transactions, while developing a localized customer database for each store that may be used by the store to develop customer profiles useful for marketing and other customer relations purposes. The Goldman system, and others, are based on using some form of identification with the customer's check, a procedure that both slows the check transaction process and inconveniences the large majority of customers who will not present a bad check. Moreover, such systems as disclosed in the Goldman patent do not enable sufficient control over a customer's check transaction frequency and dollar volume, and thus subject the store owner to substantial financial risk.

Many such systems require connecting a point-of-sale terminal through telephone lines to a remote transaction processing system, thereby increasing not only the cost of operating the systems, but also increasing the time for providing check verification. Also, existing systems typically do not focus on maintaining a local customer database useful not only for check transaction processing, but also for identifying new customers and developing customer profiles for regular customers.

SUMMARY OF THE INVENTION

Important aspects of the present invention are to facilitate check transactions by reducing the requirements for customer identification, to enable a store to adopt a risk management approach to check verification based on a customer's transactional history (frequency and dollar volume over specified intervals), and to improve a store's marketing and other customer relations programs by collecting transactional data for that store, both current and historical, that can be used to identify new customer's and develop customer profiles.

More specifically, this invention is a check transaction processing system that uses a customer's checking account number as a unique customer identification number. Thus, the system does not require time-consuming checking of additional customer identification, but only requires the speedy entry of the customer's checking account number. The system operates at an individual store, and maintains at that store a local customer database of customer records, each identified by the corresponding customer check identification number. The customer records also include customer information, such as check verification data (such as verification status) as well as other selected transactional data (such as transaction frequency and dollar volume), the verification and transaction data being regularly updated with new data (such as during check transaction verification).

The system includes one or more transaction terminals, coupled to a transaction processor that stores the customer database. A transaction terminal is used to transmit a customer information request (such as for check transaction verification), which includes a customer's check identification number, from the point-of-sale (POS) to the transaction processor.

The transaction processor processes the customer information request, using the check identification number to search the customer database and retrieve the corresponding customer record, if any. Based on the customer information in the customer record, or the lack of a customer record, the transaction processor returns an appropriate response (such as check verification status) to the transaction terminal.

Thus, the method of this invention for check transaction processing involves: (a) identifying a customer by the customer's unique check ID; (b) developing and maintaining for a store a local customer database of customer records, each identified by the corresponding customer check identification number, and each including customer information (such as verification status and transactional data); (c) generating a customer information request; (d) processing the request using the customer check identification number to access the corresponding customer record, if any; (e) returning an appropriate customer information response based on the customer information in the customer record; and (f) updating the customer database regularly to reflect new customer information.

More specific aspects of the preferred embodiment of the invention are the following.

The transaction terminals and the transaction processor form a token ring data communication network. Each transaction terminal includes (a) a keypad for entering check identification numbers, function codes and appropriate transaction data, which form customer information requests, and (b) a display for displaying the requests and the returned responses.

The customer records in the customer database include an assigned check verification status, such as POSITIVE (transaction authorized), NEGATIVE (transaction not authorized) or CAUTION (transaction should be scrutinized or subject to certain conditions). The first time a customer attempts a check transaction at a store (i.e., a search of the customer database pursuant to a check verification request indicates no existing customer record), a new customer record with a CAUTION status is created, and a CAUTION response is returned to the transaction terminal. The customer remains in the CAUTION status for a period of time sufficient for this initial check to clear or be returned. If this CAUTION/POSITIVE interval passes, the system automatically updates status to POSITIVE; if the check is returned, customer status is updated by inputting a NEGATIVE status.

In addition to check verification status data, the local customer database includes transactional data such as transaction frequency and dollar volume over specified intervals. This transactional data can be used to place conditions risk management on check transaction verification over and above verification status. For example, in the case of a customer with either CAUTION or POSITIVE status, if a check transaction exceeds certain specified transaction limits frequency and/or dollar amount over a specified interval (such as day, week or total), a CALL MANAGER response is returned in response to a check verification request, regardless of customer status.

Moreover, because the check transactional data is generated and maintained locally, it provides significant information about the store's customers over and above the information necessary for check verification risk management. New customers are readily identified, and frequency and dollar volume information may be used to establish customer profiles and to target advertising, marketing and promotional programs, and for other customer relations purposes.

In the case of a multiple store business, each store has a local check transaction processing system, with one of the systems being designated a host site and the rest being designated remote sites. At selected intervals, each remote system transmits to the host selected customer information from its local customer database (such as customer records for those customers with CAUTION and NEGATIVE status including transactional data), which is used to update the host customer database to include this global customer information. The host, in turn, transmits that global customer information to the other remote systems.

Check transaction processing is implemented by a multi-tasking program executing in the transaction processor. The program includes: (a) a terminal manager task that implements network data communication for the transaction terminals, communicating customer information requests and responses; (b) a Data Manager Task that controls the database operations necessary to respond to customer information requests and to update the customer information in the database; and (c) an Event Manager Task that implements system activities such as backup and database purge, and in the case of multiple-store systems, implements host/remote communications activities to transfer selected customer information among the stores for updating each store's local customer database with the selected global customer information.

Important features and advantages of this invention are the following. The check transaction processing system uses as a unique customer identification number the customer's check identification number, avoiding the requirement for additional identification and the attendant delay in completing the check transaction.

The system develops and maintains a local customer database, allowing the store to accumulate customer information relevant to the store's customers over and above that information necessary for check verification. The system provides for the selection of procedures and criteria for database management and check verification, allowing the store owner/manager considerable flexibility in developing and using the customer information in the store's customer database.

For check verification, the system uses three primary status levels—POSITIVE, NEGATIVE and CAUTION—allowing the store to identify those customers with a bad check outstanding, and to identify new customers and establish selected interim risk management procedures for granting those customers check transaction privileges. In addition to check verification status, the system collects and accumulates selected additional transactional data, including frequency and dollar amounts over specified intervals (such as day/week/total) and other historical information, allowing the store to adopt risk management approach to check verification tailored to the store's particular customer and financial situation by conditioning check authorization on meeting certain selected transactional limits regardless of customer status (the CALL MANAGER response), and allowing the store to develop customer profiles and to target advertising, marketing and promotions, and otherwise improve customer relations.

For multiple-store businesses, the system can use automatic host/remote transfer of selected customer information to upgrade the local customer database at each store with global customer information (such as those customers with CAUTION and NEGATIVE check verification status), thereby maximizing protection against bad checks while maintaining the local character of the store's customer database.

The check transaction processing system is implemented by a multi-tasking program, and uses local area network data communication among the transaction terminals and the transaction processor, allowing efficient operation of the system at each individual store.

Other objects, features and advantages of this invention will be apparent from the drawings and the following detailed description of the preferred embodiment, and the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows the check transaction processing system of this invention, including a multiple store remote/host configuration.

FIG. 2A shows a transaction terminal, including the display and the keypad.

FIG. 2B shows schematic circuit detail for the transaction terminal.

FIG. 3 functionally diagrams the check transaction processing system.

FIG. 4 diagrams the verification function.

FIG. 5 diagrams the local status update function for both Add and Delete NEGATIVE status.

FIGS. 6A and 6B diagram the global update function for, respectively, the host and a remote system.

FIG. 7 shows the program tasks that form the check transaction processing program.

FIG. 8 is a program flow diagram of the System Kernel that provides task switching and intertask communication for the other program tasks.

FIG. 9A is a program flow diagram of the Data Manager Task.

FIGS. 9B-9H are program flow diagrams of selected function execution routines in the Data Manager Task, respectively, verify roll, add NEGATIVE, delete NEGATIVE, host global update (negative status records), host global update (customer records), and remote global update (customer records).

FIGS. 10A and 10B are program flow diagrams of, respectively, the Terminal Manager Task network polling function, and the terminal request subtask.

FIGS. 11A and 11B are program flow diagrams of, respectively, the Event Manager Task, and the event subtask.

FIG. 12 is a program flow diagram of the Modem Manager Task.

DESCRIPTION OF THE PREFERRED EMBODIMENT

The check transaction processing system of the present invention enables a store with a significant volume of check transactions to accumulate and process transactional customer information for two main purposes: check verification and customer profiles. The system operates at the store using a local database of customer information useful in that store's business.

A customer's bank checking account number provides a unique identification for that customer—using this check ID, a customer record is created and included in the local customer database. The customer record includes an assigned customer verification status, as well as selected transactional data. Customer status designations include POSITIVE, NEGATIVE and CAUTION, while transactional data includes transaction frequency and dollar volume over given intervals (such as Day/Week/Total or DWT). Selected transactional (CALL MANAGER) limits are assigned to both CAUTION and POSITIVE status. This customer information (customer status and transactional data) in the customer database is continuously updated (a) on a local basis through either processing check verification requests, or inputting customer status, and (b) in the case of a multiple store business, on a global basis through inter-store transfers of selected customer information (such as CAUTION and NEGATIVE status information).

The description of the preferred embodiment of the check transaction processing system is organized as follows:

1.0 Hardware Description 1.1. System Overview 1.2. Data Communications Network 1.3. Transaction Terminal 1.4. Multiple-Store Configuration 1.5. Exemplary Components 2.0 Functional Description 2.1. Database Structure 2.2. Function Codes 2.3. Verify/Query 2.4. Local StatusUpdate 2.5. Global Update 2.6. Purge 2.7. Event/Activity 2.8. Communications 2.9. System 2.10. Risk Management 2.11. Customer Profiles 3.0 Program Description 3.1. General 3.2. System Kernel 3.3. Data Manager Task 3.4. Terminal Manager Task 3.5. Event Manager Task 3.6. Modem Manager Task 3.7. System/Screen Tasks 4.0 Additional Embodiments 4.1. Hardware 4.2. Standard Multi-Tasking Operating System 1.0 Check Transaction Processing System

The check transaction processing system is located at a store, and maintains a local customer database for that store. For a multiple store business, a local system is located at each store and global customer information transfers are used to supplement the essentially local customer database.

1.1. System Overview. As shown in FIG. 1, a check transaction processing system 110 located at a store includes a transaction processor 112 coupled to a disk system 114 that stores the customer database used in check transaction processing. Transaction processor 112 handles all file I/O for accessing, managing and updating the customer database.

Transaction processor 112 is coupled through a network data communications interface 116 (including network communications ports and associated drivers) and a network bus 118 to a plurality of transaction terminals 120. Transaction processor 112 is able to communicate with other check transaction processing systems through a telecommunications interface 117 (including a modem).

Transaction terminals 120 are each located at a point-of-sale (such as a grocery store checkout stand). Transaction terminals 120 are used to communicate information to transaction processor 112 for check transaction processing and customer database management. A transaction terminal transmits a request (including a function code identifying the requested function together with other request data) to the transaction processor, which processes the request and returns an appropriate response.

For example, in the case of check verification, a transaction terminal is used to transmit a verification request—the customer's check ID, the verification function code, and the dollar amount. The transaction processor processes the request, updates the customer database to reflect that transaction, and returns a customer verification status response.

1.2. Data Communications Network. Data communications between transaction processor 112 and transaction terminals 120 is implemented using a multi-drop token ring network. Network bus 118 connects the transaction terminals to the transaction processor in a star configuration so that all data signals transmitted over the network are received at each node. Each transaction terminal 120 is assigned a unique terminal address to identify its data communications.

Transaction processor 112 implements a token-passing protocol by broadcasting polling sequences (or cycles) in which tokens are sequentially addressed to the transaction terminals. For each poll, the transaction processor sends to a terminal one of two tokens (which both include the terminal address):

POLL Token An invitation for the terminal to transmit data RXDATA Token Includes data requested by the terminal In response to a POLL token, the transaction terminal transmits back one of two answers:

TXDATA Answer Includes data entered into the terminal NODATA Answer Indicates no data

During any given polling sequence, each transaction terminal is in one of three polling states that control the polling operation:

Poll Send a POLL token Wait Do not send a token until requested data is available Data Send an RXDATA token that includes the requested data in the terminal's buffer

For example, in response to a POLL token, a transaction terminal may transmit a TXDATA Answer containing a check verification request. Once the request is transmitted, the terminal is placed in the Wait state until the verification response from the transaction processor is available. The response is placed in the terminal's buffer, and the terminal is placed in the Data state. The response is included in an RXDATA token sent to the terminal during the next polling sequence, and the terminal is placed in the Poll state ready to receive a POLL token in the next polling sequence.

For the preferred embodiment, network communications interface 116 provides 32 ports for up to 32 transaction terminals. The data communications network uses the RS485 line protocol, which specifies differential signal lines SIG+ and SIG−, as well as +12V and ground lines. The network communications interface and the corresponding interfaces for each transaction terminal use a differential line driver for signal communication over network bus 118, which provides the necessary 4-wire signal path.

1.3. Transaction Terminal. As shown in FIG. 2A, each transaction terminal 120 includes a keypad 122 and a display 124. Keypad 122 is a 4×4 key matrix that includes specific keys for Function, Enter, Scroll, Clear and Back Space, as well as 0-9 and $. Display 124 is a liquid crystal display capable of displaying two lines of up to twenty characters each.

For example, to initiate a check verification request, keypad 122 is used to enter the customer's check ID and the amount of the check, along with the function code designating check verification. This request is displayed on display 124, and sent to transaction processor 112. The check verification response, including the customer's verification status (such as POSITIVE, NEGATIVE or CAUTION), returned by the transaction processor is then displayed on display 124.

As shown in FIG. 2B, a transaction terminal 120 includes:

-   -   (a) A Z8 microprocessor 130;     -   (b) An associated address latch 132;     -   (c) An EPROM 134;     -   (d) An LCD (liquid crystal display) module 136; and     -   (e) A differential transceiver 138.         Address and data paths are provided by an Address/Data Bus and a         separate Address Bus.

The transaction terminal is coupled to the RS485 multi-drop network bus (118 in FIG. 1) through a 5-Pin DIN connector 140. The RS485 network bus provides signal lines SIG+ and SIG−, along with a +12 volt power line and a ground line.

EPROM 134 provides program memory for microprocessor 130, while LCD module 136 constitutes data memory. That is, the LCD module functionally interfaces to the microprocessor as memory, providing an 80-character display data register that is treated by the microprocessor as data memory.

EPROM 134 stores programs to control keypad 122, display 124 (i.e., LCD module 136) and network data communications. The keypad program includes conventional routines for decoding key-struck signals and receiving entered characters, as well as key-debouncing and N-key rollover. The display program includes conventional routines that write characters to and read characters from the display data register in LCD module 136. To that end, the display program provides mode control commands to LCD module 136 that control read/write operations, as well as operations for cursor positioning, backspace and scroll. The network program controls token-ring network communications, including establishing a terminal polling address when the transaction terminal becomes active, detecting POLL tokens addressed to the transaction terminal, building and sending NODATA and TXDATA answers, and receiving RXDATA tokens containing response data for the transaction.

LCD module 136 is a self-contained liquid crystal display module that includes liquid crystal display 124, and provides many display control functions internally. Display 124 is arranged in two lines of 20 characters each, with the internal 80-character display data register providing 40 characters of display memory for each line. Each line is independently scrolled under control of the LCD module in response to microprocessor mode control commands (for example, when the scroll key on keypad 122 is depressed). In addition to the internal display data register, the LCD module includes an internal control/status register. Logically, these registers are treated as, respectively, data and control/status ports. Data may be read to or written from the data port, while control is written to and status is read from the control/status port.

From above, the display control program in EPROM 134 provides the various mode control commands that invoke the display control functions implemented by the LCD module. For example, in response to appropriate mode control commands, the LCD module performs the necessary internal operations to move the cursor, output the character under the cursor, write a character in the cursor position, delete a character in the cursor position, clear the display, and output sequentially all characters in the display data register (such as after the enter key is depressed).

Microprocessor 130 provides four input/output ports 0-3. Port 0 is output only, and provides the higher order address bits A08-A12 over the Address Bus (the 3 higher order bits A13-A15 of the 16-bit Z8 microprocessor address are not used by the transaction terminal). Port 1 is input/output, providing the lower order address bits A00-A07 and receiving 8-bit data bytes over the Address/Data Bus. Port 2 is input only, and is coupled to the column/row matrix lines of the 4×4 keypad matrix for keypad 122, i.e., column lines C0-C3 and row lines R0-R3.

Port 3 (0-7) is a multi-purpose input/output port. Pins 0 and 7 are a serial I/O port for an internal UART (universal asynchronous receiver transmitter). Pin 5 is an output drive enable line that controls the transmit/receive state of differential line driver 138. Pin 4 is a data memory DM line used to select either program memory (i.e., EPROM 134) or data memory (i.e., LCD module 136). Pins 1-3 are an I/O port for a credit card reader (not used in the preferred embodiment), and Pin 6 is an output port for a buzzer.

In addition to the four I/O ports, microprocessor 130 provides an address strobe line AS, a data strobe line DS and read/write line R/W.

A clock circuit 131 includes a crystal oscillator that establishes a 7.3728 MHz system clock. The Z8 microprocessor is clocked down (from its 12 MHz specification) to accommodate the LCD module's response time.

Address latch 132 receives the lower order address bits A00-A07 from microprocessor port 1 over the Address/Data Bus during the first address cycle. The address latch is enabled to latch these address bits by a microprocessor address strobe provided through an inverter 142. The latched address bits A00-A07 are available at the output of address latch 132 which is coupled to the Address Bus.

EPROM 134 receives a 12-bit address A00-A12 from the Address Bus. The lower order bits A00-A07 are provided by address latch 132, and are available on the Address Bus during the second address cycle when the higher order bits A8-A12 are provided by microprocessor port 0 over the Address Bus. Thus, EPROM 134 receives the complete 12-bit address A00-A12 from the Address Bus during the second address cycle. The addressed data byte AD0-AD7 is available from the EPROM output port over the Address/Data Bus and may be read when microprocessor 130 provides a data strobe DS to the chip enable CE input to the EPROM.

LCD module 136 includes an I/O port (pins D0-D7) coupled to the Address/Data Bus (lines AD0-AD7). To connect either the display data register or the control/status register to the I/O port, Microprocessor 130 selects either data port operation or control/status port operation with a register select signal provided by the address bit A00 from the Address Bus to the R/S input of the LCD module—if A00 is even (logic 0), the display data register is connected to the I/O port, and if A00 is odd (logic 1), the control/status register is connected. Read/write operation is selected by R/W signal from microprocessor 130 to the R/W input to LCD module 136.

LCD module 136 is enabled for output over the Address/Data Bus by an enable signal from a NOR gate 146, which receives input from the microprocessor's data strobe DS line and data memory DM line (port 3, pin 4). That is, LCD module 136 may be read only if both the data strobe and data memory lines are active. In contrast, EPROM 134 is enabled for a read operation only if the data strobe line is active while the data memory line is inactive causing an active output from an inverter 144. In this manner, microprocessor 130 uses the data memory line to select between program memory (EPROM 134) and data memory (LCD module 136).

A potentiometer 148 is used to adjust contrast for the LCD display 124. The potentiometer is connected between the pins +5 volts and ground on LCD module 136, with the potentiometer voltage being applied to the voltage reference pin VREF.

To read instructions from EPROM 134, microprocessor 130 provides a 12-bit address on the Address Bus—the lower order address bits A00-A07 from port 1 through address latch 132, and the higher order address bits A08-A12 from port 0. EPROM 134 is enabled for output by the data memory line (port 3, pin 4) being held inactive resulting in an active output-enable signal from inverter 144 to the EPROM. Conversely, LCD module 136 is disabled for a read operation because the inactive data memory line insures an inactive signal from NOR gate 146 to the LCD module, thereby insuring that EPROM 134 has exclusive access to the Address/Data Bus. During the read cycle, microprocessor 130 enables EPROM 134 to output the addressed data byte by providing a data strobe DS to the chip-enable input to the EPROM.

To read display data from the display data register in LCD module 136, Microprocessor 130 executes a read display routine in the display control program stored in EPROM 134. Microprocessor 130 first disenables EPROM 134 by holding the data memory line (port 3, pin 4) active, causing the output-enable output from inverter 146 to be inactive. LCD module 136 is then enabled for input/output when a microprocessor data strobe drives active the output from NOR gate 148, which now has both its inputs (DM and DS) active.

Once LCD module 136 has been given access to the Address/Data Bus, a display-data-register read operation is accomplished as follows. Microprocessor 130 outputs from port 1 an LCD mode control byte including a register select bit A00 over the Address/Data Bus. The register select bit is coupled through address latch 132 and the Address Bus to the RS input to LCD module 136 which selects bit is in the C/S state, causing LCD module 136 to select the control/status register for I/O access to the Address/Data Bus. Microprocessor 130 also places its read/write R/W line in the write state, so that the mode control byte can be written into the control/status register. Microprocessor 130 then provides a data strobe DS that enables LCD module 136 to latch the mode control byte from the Address/Data Bus into the control/status register.

In accordance with this mode control command, LCD module 136 places a not-ready status byte in the control status register, makes the designated display character in the display data register available for output on the Address/Data Bus, and then places a ready status byte into the control/status register. Microprocessor 130 switches the read/write line to read (the control/status register is still selected for I/O), and then provides a data strobe DS to read the status byte in the control/status register. (The microprocessor continually strokes the LCD Module until a ready status byte is returned from the control/status register.)

Microprocessor 130 then outputs a register select bit (A00) that causes LCD module 136 to select the display data register for output. Finally, the microprocessor provides a data strobe to read the first display data character over the Address/Data Bus into port 1.

This procedure —select control/status, read status, select display data, read display data—is continued until all requested display data characters have been read. That is, microprocessor 130 first reads the status register to determine when LCD module 136 is ready (i.e., when the next display data character is available), and then reads the character.

The procedure by which microprocessor 130 provides display data characters for display by LCD module 136, writing the characters into the display data register, is analogous to the procedure for reading display data characters. Executing a write display routine in the display control program, microprocessor 136 first writes a corresponding mode control command into the control/status register of the LCD module, and then reads status to determine when the LCD module is ready. Microprocessor 130 then selects the display data register, and writes the first display data character over the Address/Data Bus. Microprocessor 130 reads the status register to confirm that the LCD module is ready prior to writing the next display data character. This procedure of reading the status register and then writing a display data character is continued until all display data characters have been written.

Differential transceiver 138 controls data communications over the network bus 118 connected to connector 140. The RS485 communications protocol is implemented by microprocessor 130 executing the network communications program stored in EPROM 134. Port 3 of microprocessor 130 is used as a communications port, with pins 0 and 7 providing a serial I/O port, and pin 5 providing a transceiver drive enable line through an inverter 152 (the differential transceiver is in the transmit mode if the signal is active, and in the receive mode if the signal is inactive).

On the network side of differential transceiver 138, signal lines 6 and 7 are coupled, respectively, to the network bus signal lines SIG+ and SIG−. These signal lines are coupled to the +12 volt line through opposite sides of a protective diode network 154.

While waiting for a token (either POLL or RXDATA) over the network bus, microprocessor 130 holds the transceiver drive enable line inactive, thereby placing differential transceiver 138 in the receive mode. When a token is received through differential transceiver 138 into the serial I/O port (port 3, pins 0 and 7), microprocessor 138 switches the transceiver drive enable line active and transmits either a TXDATA or NODATA answer via the serial I/O port and the differential transceiver.

Keypad input is accomplished in a conventional manner using a 4×4 keypad matrix with column lines C0-C3 and row lines R0-R3. Key-struck decoding is accomplished as follows. Column lines C0-C3 are normally held high by a resistor network 160, while microprocessor 130 (port 2) holds the row lines R0-R3 low. When a key is struck, the corresponding column line is brought into contact with that key's row line, and the column line is brought low, which is detected by microprocessor 130. The microprocessor then switches the port 2 lines high, and sequentially drops a row line low until the key-struck column line goes low, thereby identifying the key that was struck by its row/column intersection.

Keypad control functions, such as debouncing and N-key rollover are accomplished in a conventional manner using program routines of the keypad control program stored in EPROM 134.

Power for the transaction terminal is provided by a voltage regulator 165 that receives +12 volts from the +12 volt line of the network bus. Voltage regulator 165 provides a stable +5 volt logic level.

A transaction terminal is initialized as follows. At power on, voltage regulator 165 provides a reset signal to microprocessor 130 when the +5 volt logic level is stable. Microprocessor 130 turns port 0 off, so that the Address Bus is controlled by the low-current resistor network 160, which holds the Address Bus lines A08-A12 high.

Microprocessor 130 outputs from port 1 an initialization address over the Address/Data Bus, which is latched into address latch 132 and placed on the Address Bus. EPROM 134 receives the initialization address A00-A12 (with bits A08-A12 being held high by resistor network 160), and makes the addressed instruction available at its data output port. Microprocessor 130 then reads the first instruction over the Address/Data Bus. Port 0 is turned on, so that resistor network 160 no longer controls the address lines A08-A12 of the Address Bus, and normal operation commences under control of microprocessor 130.

1.4. Multiple-store Configuration. As shown in FIG. 1, for businesses with multiple stores, a check transaction processing system 110 is located in each store.

One store is designated as a “host” system, and the other stores are designated as “remote” systems. The host system coordinates the global exchange of check verification data and other customer information, but otherwise operates as a local system for that store in the same manner as the remote systems. Operation as a host does not affect concurrent local operation, i.e., host/remote status is transparent to the check transaction processing operation at each store.

Each store operates relatively autonomously in developing and maintaining its local customer database and providing check transaction processing. However, the stores are also able to globally exchange certain customer information useful to all of the stores, particularly for purposes of check verification. For example, while it is probably unnecessary for the stores to exchange information about customers who typically frequent only a single store and do not present check transaction problems, the stores will probably want to exchange information about customers who have written bad checks at one or more stores, or who are in a cautionary status as new customers. Such a global exchange of customer information reduces the likelihood that the business will experience a significant loss from a concerted bad check writer.

Each store's customer database is updated with both local and global customer information. Each local check transaction processing system 110, including the designated host system, continually updates its customer database with local customer information, either automatically through processing check transactions or through operator-input of customer status data (such as negative status information). At regular intervals, each remote system transfers to the host selected customer information (such as negative and caution status information). The host updates its customer database with this customer information, and transfers back to each remote system global customer information from all remote systems. Each remote system then updates its customer database with this global customer information.

1.5. Exemplary Components. The detailed specifications for transaction processor 112, and its associated disk storage 114, and network communications interface 116 are not critical to this invention, being a matter of design choice. For the preferred embodiment, transaction processor 112 uses a Western Digital Processor Board Model No. WD286-WDM2 based on the Intel 80286 processor chip. Disk storage unit 114 is a Seagate Technologies Model ST225, and communications interface 116 is Sealevel Systems RS485 Communications Board Model No. SIO-485. The transaction processor runs MSDOS 3.3.

The detailed specification for point-of-sale transaction terminals 120 is not critical to this invention, being a matter of routine design specification. For the preferred embodiment, transaction terminal 120 includes the following components:

Microprocessor 130 Zilog Z8 (86C9112PSC) Address Latch 132 74HC373 EPROM 134 27C64 LCD Module 136 Optrex DMC16207 4 × 4 Keypad Standard 4 × 4 matrix Diff. Transceiver 75176 (R5485 compatible) Voltage Regulator LM2925

Alternative similar point-of-sale units are commercially available, such as from Omron Business Systems Model No. C.A.T. 90.

2.0 Functional Description

As diagrammed in FIG. 3 a, the check transaction processing system performs the following general functions:

-   -   (a) Verification (with Transactional Update) and Query     -   (b) Local Status Update     -   (c) Global Update     -   (d) Event-driven activities     -   (e) Customer database purge     -   (f) Host/Remote communications         as well as the customer database management operations necessary         to support these functions. In addition, certain system         information and diagnostic functions are performed.

The verification function involves sending a request for check transaction verification from a point-of-sale transaction terminal to the transaction processor, which performs the necessary database operations to process the request, update the customer database with transactional data (such as frequency and dollar amount) to reflect the current transaction, and return an appropriate response. The local status update function involves continuously inputting customer status changes (particularly to reflect bad check experience) for customers in a store's local customer database. The global update function, for multiple-store systems, involves continuously transferring among the stores selected customer information (preferably caution and negative status information). The purge function involves removing obsolete or unwanted customer records from the customer database based on specified purging criteria. The event-driven activities involve certain database management functions (such as purge and backup), as well as host/remote communications for global update, automatically performed at regular intervals.

2.1. Database Structure. The customer database includes all customer information used and maintained by the check transaction processing system. The customer database comprises two separate files containing customer information: the customer file and the negative status file. In addition, a system control file contains transactional limits used during check verification and purge limits.

The customer file contains customer records that include the following customer information:

Field Description Check ID Customer checking account number Verification Status POSITIVE, NEGATIVE, CAUTION, CASH ONLY, or STOLEN User Flags User assigned flags that designate a customer as PREAPPROVED for check transactions regardless of any transactional limits, or as being authorized for check transactions on a MANAGER ONLY approval basis regardless of actual status Transfer Date/Time Date/time the customer record was last accessed and updated (written to disk), used in host/remote transfers for global update (transfers from host to remote generally do not affect this date) Access Date/Time Last date/time the customer record was accessed and updated (a query function does not change the access date/time) Status Change Date Date/time customer status changed (e.g., CAUTION to POSITIVE) DWT Frequency Day/Week/Total values for transaction frequency (updated transactionally during check verification and globally) DWT $Amount Day/Week/Total dollar amounts (updated transactionally during check verification and globally) Previous Status Customer's previous status (such as CAUTION prior to being rolled POSITIVE) Frequency Since Total number of check transactions Transfer since the last global transfer $Amount Since Total dollar volume since the last Transfer global transfer

The file specification for a customer record is set forth in Table 1 at the end of the specification.

The customer file is indexed by (a) check ID, and (b) status/transfer date/check ID.

The preferred intervals for maintaining frequency and dollar amount transactional data are Day/Week/Total, where the day is the current 24-hour period, the week is the previous 7 days, and the total is the total since the customer's first check transaction. The DWT designation will be used throughout this specification to indicate the three separate values for either Frequency or $Amount. Preferably, DWT Frequency and $Amounts are maintained on a global basis, so that for those records that have been globally updated (such as NEGATIVE and CAUTION status customer records), the DWT values will be global rather than local. Alternatively, separate local and global DWT transactional data can be maintained in the customer records, as shown in Table 2.

A customer can be assigned one of five check verification status designations:

Status Description CAUTION The customer is a new customer, and a specified check clearance interval since the customer's first check transaction has not passed NEGATIVE The customer has one or more outstanding bad checks at any store location POSITIVE The specified check clearance interval since the customer's first check transaction has passed, and no bad checks are outstanding at any store location CASH ONLY The customer is not authorized to cash checks, even though no bad checks are outstanding STOLEN The customer has reported stolen checks

Customer status is assigned during customer record creation, and then updated (transactionally, locally or globally) to reflect changes in customer status, such as due to elapsed time between check transactions or bad check history.

In addition, the local update function can be used to assign to a customer either of the following user flag designations, which override normal status responses to check verification or status query requests:

User Flag Description PREAPPROVED The customer has been pre-approved for check transactions that may otherwise exceed certain transactional limits applied even to customers with POSITIVE status MANAGER ONLY The customer is not authorized to cash checks without manager approval, even though no bad checks are outstanding

In response to a check verification (or status query) request entered at a transaction terminal, the transaction processor returns a response with either customer status, or if specified transactional limits have been exceeded, a CALL MANAGER directive, unless the PREAPPROVED or MANAGER ONLY user flags in the customers record have been set. Generally, a check transaction will be authorized if the customer has a POSITIVE status or is PREAPPROVED, will require manager approval for MANAGER ONLY regardless of status, and will be refused if customer status is NEGATIVE, CASH ONLY or STOLEN. Check authorization for customers with CAUTION status is a matter of store policy. For example, check authorization can depend upon DWT Frequency or $Amount, or the type of check transaction (such as amount of purchase only), or upon having the check transaction approved by a store manager.

The CALL MANAGER directive is not a verification status contained in a customer record, but rather, is the response to a verification request if, for any status (including POSITIVE), the current check transaction causes transactional limits specified in the system control file for DWT Frequency and $Amount to be exceeded.

The negative status file contains negative status records that include the following customer information (by location for multiple store systems):

Field Description Check ID Customer checking account number Location The location identification for the store (each store having a NEGATIVE and/or CASH ONLY status history is assigned a separate negative status record) NEGATIVE Status Active -- That location has a bad check outstanding Inactive -- That location has no bad checks outstanding CASH ONLY Status Active -- That location has designated the customer as CASH ONLY Inactive -- That location has not designated the customer CASH ONLY Access Date/Time Last date/time the negative status record was accessed and updated (a query function does not change this date) NEGATIVE Date/Time Date/time the status first became NEGATIVE CASH ONLY Date/Time Date/time the status first became CASH ONLY BAD Frequency Total number of bad checks at that location BAD $Amount Total dollar amount in bad checks at that location

The file specification for a negative status record is set forth in Table 2 at the end of the specification.

The negative status file is indexed by (a) status/check ID/location, and (b) status/access date/check ID/location.

The negative status file supplements the customer file for those customers with a bad check history by recording BAD Frequency/$Amount by location, and also maintains CASH ONLY status by location.

The system control file includes the following selectable limits:

Limits Description CAUTION/POSITIVE This limit defines a check clearance interval for new customers who will be rolled for check transactions after that interval (assuming the first check is not returned) CALL MANAGER Separate DWT limits are provided by status for both Frequency and $Amount, defining the transactional limits applied to each status PURGE Separate Purge limits are specified for each of the five customer status designations; also used to define a Reset/CAUTION interval

The file specification for the system control file is contained in Table 3 at the end of the specification.

These limits are all specified by the user during system configuration. The CALL MANAGER limits are used to override the normal customer status response to a verification request when any DWT Frequency/$Amount CALL MANAGER limit is exceeded by the current check transaction. As an alternative to using the Purge limits for deleting customer records with a specified (by status) degree of obsolescence, these limits can be used to roll a POSITIVE or any other status back to CAUTION if the specified Reset/CAUTION interval between check transactions (defined by the corresponding Purge limit) has passed. In addition to these limits, the system control file contains various system information.

The specific design of the customer database, and in particular the file specifications for the customer file, negative status file, and system control file, are not critical to the invention, being a matter of design choice. Any customer database will likely comprise customer records identified by the customer check ID, and include selected transactional/customer information; such as check verification status and transactional frequency and dollar volume over specified intervals.

2.2. Function Codes. The specific functions available in the check transaction processing system are invoked by entering at a transaction terminal a request including an appropriate function code (function key plus code number) and request data (such as check ID and $Amount).

The specific check transaction processing functions are set forth in Table 4 at the end of the specification, with each function being described in terms of function code, description, keypad input, and keypad output. These functions are in the following general categories:

Function Description (Function Code) Verify Request check verification status for the current check transaction (F55) (updating the corresponding customer record to reflect the current transaction) Query Request information about status (F1), NEGATIVE status and locations (F2, F3, F4) and DWT Frequency and $Amounts (FS) (the customer database is not updated) Input Status Add (F40, F41, F44) and Delete (F60, F61, F62, F63, and F66) the status values CASH ONLY, STOLEN and NEGATIVE, and Add (F42, F43) and Delete (F62, F63) PRE-APPROVED and MANAGER ONLY user flags Event Activity Start (F950) and Stop (F951) an event activity, request event time (F952), and request activity status (F953) System Information Request certain system information, including memory usage (F902), disk usage (F903), customer file size (F904), negative status file size (F905), CAUTION/POSITIVE roll period (F906, F907), Purge limits (F906, F908-F912), CALL MANAGER limits (F906, F913-F917) System Diagnostics Request system diagnostic functions, including log-in/out (F77/F88), keypad debug (F960), modem debug (F970), data manager debug (F980), open/close customer database (F981/F982) and shutdown (F999)

2.3. Verify/Query. The verify function is used both to provide verification status (such as POSITIVE, NEGATIVE or CAUTION) for a check transaction, and to update the transactional data in the customer database. The principal difference between the verify and query functions is that, while both functions retrieve the specified (by check ID) customer record (or in the case of query, the negative status record) to provide an appropriate response, only the verify function actually updates the customer database by writing the updated customer record back to disk.

FIG. 4 diagrams the check verification function. A check verification function is initiated (202) by entering a verify request (check ID/function code/$Amount) from a transaction terminal, which is transmitted to the transaction processor for check transaction processing and to determine the appropriate check verification response.

The transaction processor uses the check ID to search (204) the customer file for a corresponding customer record, which is retrieved (206), or if it doesn't exist, created (208) with a CAUTION status. The customer record is updated (210) by rolling Access Date/Time, Status and DWT Frequency and $Amount to reflect the current access date/time.

First, the Access Date/Time in the customer record is rolled (212) forward to the date/time for the current check transaction, establishing the transaction interval, i.e. the time elapsed since the customer's last check transaction.

Next, for a given status, the transaction interval is compared (214) with a corresponding selected reset/CAUTION interval—if the transaction interval is such that the reset/CAUTION interval for the customer's status is exceeded, Status is rolled (215) to CAUTION, and the customer is treated as a new customer from that time. If the customer record has a CAUTION status, the transaction interval is compared (216) with a selected CAUTION/POSITIVE limit defining a check clearance period—if this check clearance period has passed, the CAUTION status is rolled (217) POSITIVE.

The last roll/update operation is to roll (218) the DWT values for Frequency and $Amount to reflect the current access date/time.

After the roll/update operation (210) updates the customer record to reflect the current access date/time, the current transactional data are added (220) by incrementing DWT Frequency and adding the transaction $Amount to the corresponding DWT $Amount. The DWT transactional data in the updated customer record now reflects the current transaction.

Next, the user flags in the customer record are checked (222)—if the MANAGER ONLY flag is set, a MANAGER ONLY response is returned (225) regardless of status, while if the PREAPPROVED flag is set, the normal status response (POSITIVE) is returned (226) regardless of any transactional CALL MANAGER limits.

Finally, DWT Frequency/$Amount are compared (228) with the CALL MANAGER limits for the customer's status to determine whether any of these limits are exceeded. If not, a normal response with the customer's check verification status is returned (226); if any limit is exceeded, a CALL MANAGER response is returned (229).

For the status query function, the same roll/update operation (210) is performed to provide a customer record with updated Access Date/Time, Status and DWT Frequency/$Amount from which an appropriate status response can be derived. However, the updated customer record is only used to derive the response to the query request—the updated record is not written back to disk, so the customer database is not updated.

2.4. Local Status Update. Local status update of the customer database is accomplished by inputting certain status (and user flag) information to reflect bad check experience or store policy.

Status input functions are used to Add or Delete the status values NEGATIVE, CASH ONLY and STOLEN. Typically these functions will involve modifying the Status of an existing customer record and/or negative status record, although new records may be created. In addition, local input functions are used to Add or Delete user flags that designate the customer as PREAPPROVED or MANAGER ONLY.

For multiple store systems, a separate negative status record is kept for each location having a NEGATIVE and/or CASH ONLY status history. Thus, assuming negative status records are transferred during the global update function, each store's negative status file will contain separate negative status records for the various locations, sometimes for the same customer. Generally, a store can only affect through the local update function, negative status records for its location.

For each status input function, the update operation for the customer record includes the roll/update operation described in connection with FIG. 4 (210) to reflect the current access (update) to the customer record (which is written to disk to update the customer file).

FIG. 5 diagrams the local status input function for Add/Delete NEGATIVE status. A store uses this operation only for the negative status records for that location, and only when all bad checks have been recovered or otherwise resolved. For the Add NEGATIVE status function, the corresponding negative status record for that location is retrieved or created (230), and NEGATIVE status is set (232) Active and BAD Frequency/$Amount is adjusted (233) by adding the current bad check transaction. The corresponding customer record is then retrieved or created (235), and updated by the roll/update operation (238) but with status set (239) to NEGATIVE.

For the Delete NEGATIVE Status function, the corresponding negative status record is retrieved (230), and NEGATIVE Status is set (232) to Inactive and BAD Frequency/$Amount are set (233) to zero. If that customer has no other bad checks outstanding at any location (i.e., no other negative status records with NEGATIVE Status Active) (236), then the corresponding customer record is retrieved or created (237) and updated by the roll/update operation (238), but with status rolled (239) to its previous state (i.e., prior to becoming NEGATIVE).

For status input functions that Add/Delete CASH ONLY (which status is also kept by location in negative status file), the basic operation is the same as for Add/Delete NEGATIVE except that the BAD Frequency/$Amount data are unaffected.

For the status input functions that Add/Delete STOLEN, only the customer file need be updated. For the Add STOLEN function, the corresponding customer record is updated in accordance with the roll/update operation, but with status rolled to STOLEN. For the Delete STOLEN function, the corresponding customer record is updated and rolled to CAUTION.

For the user flag input functions that Add/Delete PREAPPROVED or MANAGER ONLY, again, only the corresponding customer record need be updated.

2.5. Global Update. For multiple-store systems, the global update function is used to coordinate the exchange of certain customer information among the individual stores.

Global update is accomplished by file (record) transfers between each remote system and the host system. The host system receives selected customer records and negative status records from each remote, updates its customer database, and then transmits globally updated records back to each of the remotes. Each remote is able to maintain a local customer database, supplemented with selected global customer information deemed to be useful to all stores in the system.

The type of customer information transferred by the global update function is based on store management policies. The recommended approach to exchanging global customer information is as follows:

-   -   (a) Negative Status Records—All NEGATIVE status records         (NEGATIVE or CASH ONLY status) accessed (created or updated)         since the last transfer; and     -   (b) Customer Records—All customer records with status values         CAUTION, NEGATIVE, CASH ONLY and STOLEN accessed (created or         updated) since the last file transfer;     -   (c) POSITIVE status records (even those designated MANAGER ONLY)         are not recommended for global transfer.         As a result, the local customer database contains negative         status records (including NEGATIVE and CASH ONLY status and BAD         Frequency/$Amount) for all store locations (although each remote         system only transfers to the host the negative status records         for its location). For those customer records transferred, DWT         Frequency/$Amounts can be maintained either globally or locally         and globally. That is, a store may decide not to maintain both         global and local transaction data since, for regular customers         that primarily frequent that store (i.e., the customers of         primary interest) global and local transaction data are         essentially the same anyway. On the other hand, a store may want         to keep its local transaction data completely separate from the         global data attributable to all stores.

The host/remote file transfers that support global update are accomplished automatically through the event/activity function described in Section 2.7. Generally, for each remote system, host/remote file transfer constitutes an activity automatically invoked at predetermined regular event intervals. This procedure insures that the local customer databases are regularly supplemented with globally updated status and other customer information affecting check verification.

A global update session is initiated by a remote system. The remote transmits only those negative status or selected customer records accessed (updated) since the last host/remote file transfer. Since a remote only updates (or creates) negative status records for its location (although negative status records for other locations may be queried), a remote only transfers those local records (but will receive back from the host recently updated negative status records for all locations). And, only those updated customer records meeting the selected status criteria are transferred (i.e., POSITIVE status records are not transferred, even if designated MANAGER ONLY).

Negative status records are extracted using the index [status/transfer/date/ID/location], while customer records are extracted using the index [status/access date/ID].

FIG. 6 a diagrams the host global update function by which the host system receives recently updated negative status and customer records, and performs a global update of its customer database. For remote negative status records (remote location only), the host retrieves or creates (240) a corresponding host record, and sets (243, 244) host status (NEGATIVE/CASH ONLY, ACTIVE/INACTIVE) and host BAD Frequency/$Amount equal to the corresponding remote values. For remote customer records, the host retrieves or creates a corresponding host record, and updates existing host records using the roll operation (246). Host and Remote status are compared, and if different, the host assigns status (247) according to predetermined status arbitration criteria. The host then adds (248) the Frequency/$Amount accumulated at the remote since last transfer to the Host DWT Frequency/$Amount, and selects (249) the greater of host/remote DWT data as correct, updating the host record accordingly.

After global update of the host customer database, the host transmits to the remote all negative status records and selected customer records accessed (updated) at the host since the previous transfer. Because every remote record transferred to the host caused a corresponding host record to be created or updated, and therefore accessed, the host-to-remote file transfer necessarily includes all host records corresponding to the remote records transferred to the host during that session. In particular, host negative status records for all locations, meeting the recently accessed transfer criteria, are transferred to the remote. For negative status records from other locations, the remote merely copies (253) the host record (remote location records received from the host are necessarily the same as the remote record). For customer records, the remote first rolls (254) the DWT Frequency and $Amount. If host DWT Frequency/$Amount is less than the corresponding remote DWT data (255), the remote rolls (256) access data to insure that the remote record is transferred back to the host during the next global update transfer session (to update the corresponding host record with the greater DWD data); otherwise, the remote selects (257) the host DWT data. That is, the global update function assumes that the greater DWT Frequency/$Amount is correct. Finally, the remote compares host/remote status, and if different, assigns status (258) according to predetermined status arbitration criteria.

2.6. Purge. The customer database purge function allows a store to orient its customer database toward active customers, stabilizing the database size by deleting certain customer records and negative status records deemed to be obsolete.

During database purge, customer records or negative status records with a given status are read, and the access data/time is compared with the corresponding purge limit from the system control file. Records not accessed during the interval defined by the purge limit are deleted.

Implementing the purge function is optional as a matter of store policy. For the preferred embodiment, the purge limits are also used to define a reset/CAUTION interval (described in connection with FIG. 4). If a record is not accessed during that interval, its status is rolled to CAUTION. Thus, the check transaction processing system defaults to the reset/CAUTION operation if the purge function is not operational.

The purge limits are a matter of design selection. The following purge limits are recommended:

CAUTION  90 days POSITIVE 180 days NEGATIVE 360 days CASH ONLY 360 days STOLEN 360 days Because customer record status is not rolled automatically from CAUTION to POSITIVE, but only as a result of a transaction in which the access date/time is also rolled current, the customer database maintains an accurate record of CAUTION status for those first-time customers who do not return after the check clearance interval. Those CAUTION status customers who do not return to a store within a reasonable period of time can be eliminated from the customer database. Likewise, POSITIVE status customers who stop transacting business with a store can be eliminated from the active customer database.

Selected purge limits are entered into the system control file during system installation/ configuration. If the purge function is selected, performing it automatically as an event-driven activity (described in Section 2.7) is recommended.

2.7. Event/Activities. Event-driven activities are performed automatically by the check transaction processing system to implement certain functions without operator intervention.

The configuration and timing of these activities is a matter of routine design selection. The following event-driven activities, and the associated event intervals, are recommended:

Host/Remote File Transfer Every 15 minutes System Backup Every 10 minutes Purge Every 24 hours In addition, certain report functions can be made automatic as event-driven activities, such as reporting every day all customer records with CAUTION or NEGATIVE status.

The specified event-driven activities and associated event intervals are contained in an event table established during system installation/configuration. These activities are then executed in background at the designated event times without user intervention, and without affecting other foreground functions such as check verification. Once the event table is configured, the various activities may be started or stopped by invoking appropriate functions from a transaction terminal (functions F950 and F951 in Table 4).

For multiple-store systems, performing the host/remote file transfers necessary for global update on a regular, event-driven basis insures that CAUTION/ NEGATIVE status information for check verification purposes is kept current throughout the system. Performing such transfers at relatively short intervals keeps the individual host/remote communications sessions sufficiently short that other functions, such as check verification, are not significantly affected. Moreover, performing host/remote file transfers on a regular basis at short intervals helps guard against fraudulent bad check passing schemes.

Regularly, purging the customer database facilitates database stabilization, and focuses the database on reasonably regular customers. The need for regular, and often, event-driven driven backup is obvious, and is not burdensome of system computing resources because only those customer records actually updated during the short interval between backup events need be backed up.

2.8 Communications. The communications function is primarily used to support host/remote file transfers for global update in multiple-store systems. In addition, the communications function can be used for remote diagnostic operations.

The communications function is implemented in a conventional manner. Both the implementation of the communications function and the mode of communications (such as using modem communications over dial up lines) are a matter of routine design selection. Implementing the communications function so as to be essentially transparent to the local operation of the remote and host check transaction processing systems is recommended (see Section 3.6).

2.9. System. Certain system diagnostic and system information functions are available to users of the check transaction processing system.

These system functions are not critical to the invention but are a matter of routine design selection. The recommended system functions are identified in Section 2.2 and Table 4, and include querying the customer database and system control file, obtaining disk usage and file size information, starting/stopping activities in the event file, and controlling certain keypad and modem configuration functions, as well as controlling certain system level functions such as log-on, log-off, open/close database, debug and system shutdown. In particular, these system functions are useful to store supervisory personnel for querying the customer database and for controlling event-driven activities, and to vendor support personnel for remote diagnostic purposes.

2.10. Risk Management. The check transaction processing system enables a store to adopt a risk management approach to check verification. Specifically, through selection of the CALL MANAGER limits for each status (including POSITIVE) a store has considerable flexibility in adjusting its check authorization policy to accommodate the different risks presented by different customers, both in terms of bad check risks and recovery risk.

Adopting specific risk management procedures for check verification is a matter of store policy implemented by routine design selection. In addition to selecting the CALL MANAGER transational limits for each status, the reset/CAUTION interval can be selected to force customers who do not return for that interval into a CAUTION status. Moreover, the user flags—PREAPPROVED and MANAGER ONLY can be used to assign special check verification treatment to selected customers regardless of status or transactional (CALL MANAGER) limits.

Adopting risk management approach to check verification through selecting transactional CALL MANAGER limits enables each store to make a policy decision about the degree of risk the store is willing to take within a given interval. Moreover, this approach can be tailored to the specific business climate of the store in terms of dollar volume, profitably, customer base and management philosophy. By specifying transactional CALL MANAGER limits in terms of status, frequency, dollar amount and transaction interval, the store's risk management approach to check verification can reflect statistical patterns for bad check/recovery risks.

For example, frequency and dollar volume limits are important for the CAUTION status to reduce the risk that a store will be hit by a concerted bad check scheme. (Global update is particularly important in this area.) Depending on past experience with its typical customer, or store policy, a new customer can be restricted in terms of numbers of checks and/or dollar volume during the selected check clearance interval.

Frequency and dollar volume limits are just as important for the POSITIVE status. A store shouldn't assume any significant risk in terms of dollar volume (either for a current trnasaciton or over a given relatively short interval such as a week) just because a customer has had one or a few checks clear. That is, total historical check transaction frequency is a significant factor in assessing the risk of cashing a given check; both in terms of likelihood that the check is bad and likelihood that a bad check will be recovered.

2.11. Customer Information Reporting. The check transaction processing system allows a store to build and maintain a customer database containing customer information useful for identifying new customers and developing customer profiles, in addition to its use for check verification.

Reporting customer information, such as verification status and DWT Frequency/$Amounts, is a matter of routine design selection and store policy.

Customer information reports are recommended (a) to identify new customers, and (b) to develop customer profiles, both of which can be used in targeting marketing, advertising and promotional programs, and for other customer relations purposes. Specifically, new customers are identified by regularly reporting customer records with a CAUTION status. Regular customers are identified by reporting customer records based on DWT Frequency data, while the level of a customer's business is identified by reporting customer records based on DWT $Amount data. Additional customer information that can be readily collected in the customer records includes zip code and marital status information useful in demographic analysis.

The check transaction processing system permits the customer information contained in the customer database to be collected in an unobtrusive and efficient manner during high volume check transactions.

3.0 Program Description

The various check transaction processing functions described in Section 2.0 are implemented using a check transaction processing system (“CTPS”) program executed by the transaction processor.

The CTPS Program must implement several operations in real time:

-   -   (a) transaction terminal network communications, including         communicating verification requests and the corresponding         responses;     -   (b) database operations, including responding to verification         requests and updating the customer database;     -   (c) event-driven activities, including global update, which must         execute in the background while the check verification function         is executing; and     -   (d) host/remote communications to support global update.         Moreover, while the purge function may be run after-hours as a         batch operation, system backup should be executed at regular         intervals throughout a business day as an event-driven         background activity.

To achieve acceptable performance using a 286-class engine for the transaction processor, the preferred embodiment of the CTPS Program uses a multi-tasking architecture. The various functions performed by the CTPS Program are implemented as separate program tasks executed by the transaction processor in a multi-tasking mode. For the preferred system configuration (described in connection with FIG. 1), a multi-tasking architecture for the CTPS Program is superior in performance to available alternatives, such as polled interrupts.

3.1. General. As shown in FIG. 7, the CTPS Program includes various task programs interfaced through a System Kernal. Since the preferred MS/DOS Operating System is not multi-tasking, the System Kernal is required to implement (a) task switching, and (b) intertask communications. In this operating environment, the MS/DOS operating system is used only for disk file I/O, with the System Kernal interfacing functionally to the individual task programs as an operating system.

System Kernal 400 controls task switching, intertask message communications (requests and responses), subtask spawning, and task synchronization using semaphores.

Data Manager Task 500 controls all database operations used in check transaction processing functions (such as verification with transactional update, query, local status update, global update and purge), executing function requests from the other task programs (such as the Terminal Manager Task and the Event Manager Task) and returning response data.

Terminal Manager Task 700 controls data communications over the transaction terminal network, receiving function requests from the transaction terminals and spawning terminal request subtasks that transmit a request to an executing task (usually the Data Manager Task) and then build an appropriate response from the response data provided by that executing task.

Event Manager Task 800 implements activities designated for automatic execution on an event-drive basis, such as host/remote file transfers for global update, spawning a background event subtask at the specified event time to execute the specified activities.

Modem Manager Task 900 controls telecommunications primarily for host/remote file transfer for global update, but also for remote diagnostic purposes.

In addition to these check transaction processing tasks, a Screen Manager Task 950 and a System Utilities Task 960 are provided for maintenance and diagnostic purposes.

In general, for the Verify/Query and Local Status Update functions, the Terminal Manager Task sequentially polls the transaction terminals which enter and transmit requests, such as:

-   -   Verify [Function Code/check ID/Function Code/$Amount]     -   Query [Function Code/check ID]     -   Add/Delete [Function Code/check ID/Status]         For each terminal request, the Terminal Manager Task spawns a         corresponding terminal request subtask that dispatches the         request to a corresponding function/request routine, which sends         the request to the Data Manager Task. The Data Manager Task         executes the request, and notifies the function/request routine         (by a semaphore operation) that response data is ready. The         function/request routine then builds the appropriate response         from the response data, and writes it into the terminal buffer         for the requesting terminal. The Terminal Manager Task sends the         response to the requesting terminal in the next polling         sequence.

For the Global Update function, the Event Manager Task running in a remote system sequences through an event table, and at specified event times and intervals, spawns a corresponding event substask to execute the global update activities, i.e., send/receive customer records and negative status records. The subtask dispatches to corresponding activity routines, i.e. activities that send/receive customer and negative status records. The send activity routines first request the remote Data Manager Task to retrieve records accessed since the previous global update, and then request the remote Modem Manager Task to transfer those records to the host Data Manager Task for global update. The receive activity routines first send requests for globally updated records through the remote Modem Manager Task to the host Data Manager Task, and then requests the remote Data Manager Task to globally update the remote customer database using the records returned by the host.

3.2. System Kernal. The System Kernal Program is implemented functionally by a multi-tasking module and a system services module.

The multi-tasking module controls resource allocation through task switching, with multi-task execution being implemented using standard context switching to swap task instructions/data between (a) the program and data memory areas allocated to the task, and (b) the task execution registers (i.e., the program counter, stack and other specified and general purpose registers). To implement intertask communications, the multi-task module allocates for each task data memory areas for request and response data, and maintains a task control block that contains for each task (a) task queues for intertask requests, and (b) semaphore flags.

The system services module implements intertask communications through calls to the multi-task module. For intertask communication, the system services module implements semaphore operations on the allocated semaphore flags in the task control block.

Functionally, the System Kernal interfaces to the various task programs that comprise the CTPS Program as a multi-tasking operating system. The Kernal performs four principal operations that establish a multi-tasking environment for the check transaction processing system:

-   -   (a) task switching;     -   (b) task control block management for task queues and         semaphores;     -   (c) intertask communication of task requests/responses using the         task control block and allocated data areas; and     -   (d) spawning subtasks.         The first two operations are performed by the multi-tasking         module, while the second two operations are performed by the         system services module. In addition, the System Kernal manages         the system control file, and performs diagnostic and system         utility operations (these operations being implemented by the         system services module).

The specific program implementation of the System Kernal is not critical to this invention, being a matter of routine design specification. Indeed, as described in Section 4.0., the System Kernal can be replaced with a commercially available multi-tasking operating system.

For the preferred embodiment, the muti-tasking module is implemented with a commercially available program, Time Slicer from Life Boat Systems. Time Slicer provides a conventional multi-tasking environment, including task switching (context switching) and task control block management (request queues and semaphore flags). These multi-tasking operations are implemented in a conventional manner. Alternative multi-tasking modules are commercially available.

At system initialization, the System Kernal allocates the task control block (queues and semaphores flags) and the data areas for the various tasks. Thereafter, the System Kernal receives service requests from a requesting task addressed to a responding task and written into the System Kernal's request queue.

The requesting task builds a service request in the following format

-   -   responding task ID     -   requesting task ID     -   function code     -   address of request data     -   address for response data     -   stop semaphore         The function code is one of the function codes set forth in         Table 4. The addresses for the request and response data are         data memory locations allocated to the requesting task.

FIG. 8 diagrams the intertask communication and subtask call functions implemented by the System Kernal. The System Kernal continually monitors (402) the request queue, executing service requests on a first-in first-out basis. The system kernal first determines (404) whether the next-in-line request is a service request or a subtask request from a requesting task, or a stop request (indicating request execution completed) from a responding task.

In the case of an intertask service request, the system kernal builds (410) a corresponding intertask packet, and writes (412) the packet into the responding task queue in the task control block. In the case of subtask request (which includes the subtask file name), the System Kernal spawns (414) the specified subtask (which typically executes the called function using intertask service requests). In the case of a stop request from a responding task, the System Kernal sets (416) the specified semaphone flag in the task control block, notifying the requesting task that request execution is complete and response data is ready.

The intertask request packet built by the System Kernal is in the following format:

-   -   requesting task ID     -   function code     -   address of request data     -   address for response data     -   semaphore flag         That is, the intertask request packet includes the same         information as contained in the service request from the         requesting task, but without the responding task ID. That         identification is unnecessary since each task is assigned a         specific allocation of address space for its task queue and         semaphone flags in the task control block, and for its data         area. The stop request is the intertask request packet, which         the System Kernal recognizes as a stop request when it appears         in its request queue.

In general, intertask request execution is accomplished as follows: Each task monitors its task queue in the task control block. If the task queue does not contain a request, the task continues executing internal functions. When an intertask request packet is written into a task queue by the System Kernal (in response to a service request), the responding task reads the packet from the queue. The responding task decodes the request packet, and dispatches the request to an execution routine (either directly or by first spawning a subtask that handles dispatching). This execution routine reads the request data located in the requesting task's data area at the address specified in the intertask request packet, and executes the requested function using the request data. After request execution, the execution routine provides a response by writing response data to the specified address in the requesting task's data area, and sends a stop request (which is the intertask request packet) to the System Kernal indicating that request execution is complete and response data is ready. The System Kernal executes the stop request by setting the specified semaphore flag.

For example, in the case of a verification request entered at a transaction terminal, the Terminal Manager Task spawns (through the System Kernal) a terminal request subtask. The terminal request subtask dispatches to a verification/request routine that sends a verification request through the System Kernal to the Data Manager Task. The Data Manager Task reads from its task queue the verification request (i.e. the intertask verification/request packet), and determines that a verification function is requested. The Data Manager Task dispatches the request to an verification execution routine that reads the request data (check ID and $Amount) from the specified request data address, and performs the necessary customer database operations, including retrieving or creating a corresponding customer record and updating status and transactional data (DWT Frequency and $Amount) to reflect the current transaction. The execution routine then writes the updated customer record to the specified response data address, and sends a stop request (i.e., the intertask request packet) to the System Kernal. The System Kernal sets the specified semaphore flag, and the terminal request subtask reads the customer record and builds an appropriate response that is sent to the terminal by the Terminal Manager Task.

3.3. Data Manager Task. The Data Manager Task manages the customer database, maintaining the customer record file and negative status record file, and the related indices. The Data Manager Task controls all database operations for check transaction processing functions (such as verify/query and local and global update) and customer database management functions (such as backup and purge), including record creation, retrieval, modification and deletion.

The check transaction processing functions performed by the Data Manager Task are, generally:

-   -   (a) Verify (with Transactional Update)     -   (b) Query     -   (c) Local Status Update     -   (d) Global Update (Host and Remote)         The verify, query, and local status update functions are invoked         from a transaction terminal. The global update function is an         activity invoked by the Event Manager Task.

For the preferred embodiment, the Data Manager Tasks interfaces to the disk files (i.e., the customer, negative status and system control files) through a commercially available library of database management routines, C-Tree from Faircom Software. The C-Tree library, in turn, uses the MS/DOS File System (DFS) to handle disk file I/O. The configuration of those routines to operate with the Data Manager Task and the MS/DOS DFS is a matter of routine design specification. Other such libraries of database management routines are commercially available.

At system initialization, the Data Manager Task opens the customer and negative status files, and a password file (used for supervisor functions requiring a password).

FIG. 9 a is a program flow diagram for the Data Manager Task. The Task continually monitors (502) its task queue for requests (intertask request packets) written into the queue by the system kernal. These requests primarily involve database operations in connection with check transaction processing functions, and are received from the Terminal Manager Task (Verify/Query and Local Status Update) and the Event Manager Task (Global Update, Purge and Backup). Some requests involve system diagnostic or information requests such as for disk or database information (see Section 2.2).

If no requests are in the Data Manager Task queue, it executes internal functions (503). When the Task receives a request, it performs the following operations:

-   -   (a) reading (506) a function request packet from the task queue;     -   (b) decoding (506) the function code; and     -   (c) dispatching (508) the function request to a corresponding         function execution routine.         The function execution routine executes the function, performing         the necessary database operations, and upon completion, writes         appropriate response data into the location specified by the         requesting task, and then sends a stop request (the intertask         request packet) to the system kernal.

The various functions identified in FIG. 9A—Verify (510), Host Global Update (Negative Status) (600), Host Global Update (Customer) (630), and Remote Global Update (660)—are representative of the check transaction processing functions performed by the CTP Program. These functions, and the associated execution routines, are described in detail in connection with FIGS. 9B-9H.

FIG. 9B is a program flow diagram for the Verify routine in the Data Manager Task. After receiving and decoding the appropriate intertask request packet from the Terminal Manager Task, the Data Manager Task dispatches (508) to the Verify Execution Routine 510.

The Verify routine reads (512) the verification request data (check ID and $Amount) from the request data location specified in the intertask request packet. The customer database is searched (514) using the check ID, and the corresponding customer record is retrieved (515) or created (516) with status set to CAUTION and DWT Frequency and $Amount set to zero.

The Verify routine then calls (520) a roll routine that updates status and transactional data in the record to reflect the current access date/time. The Data Manager Task does not independently update customer records to make status and DWT Frequency/$Amount reflect a current date/time. Rather, the customer records are updated in real time as they are accessed, such as during execution of verify and update functions. Because this roll/update operation is used by many of the function execution routines in the Data Manager Task, a separate routine is provided and called by these routines.

FIG. 9 c is a program flow diagram for the roll routine. The routine first rolls (522) the Access Date/Time in the customer record to the current date, and then calculates (524) the transaction interval, ie. the elapsed time since the customer's previous check transaction.

The purge limit for the customer's status is read (526) from the system control file and compared (528) with the transaction interval. If the transaction interval exceeds the purge limit, a status roll subroutine is called (530) and instructed to roll the status of the customer record to CAUTION. (This reset/CAUTION operation provides a default alternative to the purge function which would delete those customer records with access dates that exceed the corresponding status purge limit.) Next, the roll routine determines whether, for customer records with a CAUTION status, the predetermined check clearance period defined by the CAUTION/POSITIVE limit has passed. If the customer status is CAUTION (532), then the CAUTION/POSITIVE limit is read (534) from the system control file and compared (536) with the status change date, i.e., the date on which the customer became a CAUTION, either because of an initial check transaction or because of a roll to CAUTION (such as through the reset/CAUTION procedure in 526, 528 and 530). If the period during which the customer has been a CAUTION exceeds the CAUTION/POSITIVE period, then the status roll subroutine is called (537) and instructed to roll customer status to POSITIVE.

The roll routine then rolls (538) the DWT totals for both Frequency and $Amount to reflect the current access date.

The customer record is now updated to the current access date, the roll routine having rolled/updated the Access Date/Time, Status and DWT Frequency and $Amount.

The status roll subroutine is called when any function routine rolls customer status from one value to another. As part of the call instruction, the status roll subroutine receives a new status, CAUTION in the case of the reset/CAUTION operation. Program state-logic then determines whether the roll is allowable according to specified roll state-logic: (a) if allowed, status is rolled to the specified new status; or (b) if not allowed, status is rolled to an allowable status value, or is not rolled, in accordance with the roll state-logic. The status roll subroutine then rolls the status change date in the customer record to the current date (if the subroutine effected a change in status). Thus, for customer records in which the transaction interval exceeds the status purge limit, the customer record is modified to reflect a CAUTION status with a corresponding status change date.

The roll routine returns (539) to the calling routine, in this case, the Verify routine in FIG. 9 b. The verify routine adds (540) to the roll/updated customer record the current transaction by incrementing DWT Frequency and adding the current $Amount to the DWT $Amount. The customer record is now updated to reflect both the current access date and the current transaction. The updated customer record (with its transfer date updated current) is written (542) to disk, to update the customer database.

The updated customer record constitutes the response data for the verify request, and the Verify routine writes (544) the record into the response data location specified in the intertask request packet.

Finally, the Verify routine sends (546) a stop request to the System Kernal. The stop request comprises the intertask request packet received from the System Kernal by the Data Manager Task. The appearance of this packet in the Kernal's service request queue notifies-the Kernal that request execution by the verify routine is complete. In response to the stop request, the System Kernal sets the semaphore flag specified in the intertask request packet to notify the Terminal Manager Task that the verification request is complete, and the response data is in the specified location.

The query function is used to query the customer database, and retrieve an updated customer record or updated negative status record from which the desired information may be extracted. For each query function, the Data Manager Task dispatches to a corresponding query execution routine that retrieves and updates the requested customer record or negative status record. The essential difference between the query routines and the verify routine is that no current check transaction data is involved, and the updated record is not written to disk to update the customer database.

For example, in the case of a query for customer information (such as status and/or DWT transactional data), the Data Manager Task dispatches the intertask query request packet to the corresponding Query execution routine. The routine reads the check ID from the specified location for the request data, and initiates a search of the customer record file. If no corresponding customer record is found, the query routine returns an error message response. If a corresponding customer record is retrieved, the Query routine calls the roll routine to update Access Date/Time, Status and DWT Frequency/$Amount. The roll/updated customer record is written to the specified location for the response data, and a stop request is sent to the System Kernal. The Query routine does not update the customer database by writing the updated customer record back to disk.

In addition to updating the customer database in real time through the verification operation, the Data Manager Task also implements the following local status update functions:

-   -   Add/Delete NEGATIVE     -   Add/Delete CASH ONLY     -   Add/Delete STOLEN     -   Add/Delete PREAPPROVED     -   Add/Delete MANAGER ONLY         These functions are used to input customer status and user flag         information.

For multiple store systems, negative status records are kept by location, i.e. each location creates a negative status record for any customer with NEGATIVE or CASH ONLY status at that location. Global Update causes the negative status file at each location to contain negative status records for each location (assuming negative status records are selected for global update). Each location can access through the Add/Delete NEGATIVE and CASH ONLY functions only those negative status records for its location. The query function can be used to query negative status records from other locations.

FIG. 9 d is a program flow diagram for the add NEGATIVE local status update function. After receiving and decoding the appropriate intertask request packet from the Terminal Manager Task, the Data Manager Task dispatches (508) to the Add NETATIVE execution routine (550).

The Add NEGATIVE routine reads (551) the request data (check ID/location/$Amount) from the location specified in the intertask request packet. The negative status file is searched (552) for a corresponding negative status record, which is either retrieved (553) or created (554). If NEGATIVE status is Inactive (556), the status roll subroutine in called (557) and instructed to roll to Active. The current bad check data is then added (558) to the BAD Frequency and $Amount totals for that location. The routine then writes (559) the updated negative status record into the negative status file.

The customer file is searched (560) for the specified customer record, which is either retrieved (561) or created (562). The roll routine is called (564) to roll/update the customer record (Access Date/Time, Status and DWT Frequency/$Amount) as described in connection with FIG. 9 c. After roll/update, the status roll subroutine is called (566) and instructed to roll customer status NEGATIVE. The updated customer record (with its transfer date updated current) is then written (568) into the customer file.

After the add NEGATIVE function is accomplished, a confirmation response is written (570) into the specified response data location, and a stop request is sent (572) to the System Kernal (which sets the specified semophore flag).

FIG. 9 e is a program flow diagram for the delete NEGATIVE function. After receiving and decoding the appropriate intertask request packet from the Terminal Manager Task, the Data Manager Task dispatches (508) to the Delete NEGATIVE execution routine (580).

For multiple-store systems, the Delete NEGATIVE function is used according to the following criteria: (a) it is only used to delete NEGATIVE status for the location requesting the delete NEGATIVE function; i.e., to change NEGATIVE status from Active to Inactive only in the negative status record for that location; and (b) it is only used if all bad checks for that location have been paid off or otherwise resolved. Thus, each location can only affect its own negative status record—the global update function is used to distribute negative status records among all locations.

The Delete NEGATIVE routine reads (581) the request data (check ID/location) from the location specified in the intertask request packet. The negative status file is searched (582), and the negative status record for that location is retrieved (584), if it exists. The status roll subroutine is called (586) to roll NEGATIVE status from Active to Inactive. The BAD Frequency and $Amount data are then deleted (587) indicating that all bad checks have been paid or otherwise resolved.

Next, the routine determines (590) whether another negative status record exists for that customer, i.e., whether the customer has a NEGATIVE status active at other locations. If the negative status file contains no other negative status records for the customer, the customer file is searched to retrieve (592) the corresponding customer record. The roll routine is then called (594) to roll/update the customer record as described in connection with FIG. 9 c, and the status roll subroutine is called to roll status to the previous status (i.e., the customer's status prior to becoming a NEGATIVE). The updated customer record (with its transfer date updated current) is then written (596) to the customer file.

After the delete NEGATIVE function is accomplished, a confirmation response is written (597) to the specified response data address, and a stop request is sent (598) to the System Kernal (which sets the specified semaphore flag).

The routines that Adding/Delete CASH ONLY operate analogously to the Add/Delete NEGATIVE routine because CASH ONLY is also maintained by location in a negative status record. These routines function in accordance with FIGS. 9 d and 9 e, except that transaction data (BAD Frequency/$Amount) is not involved (i.e., step 558 is unnecessary).

The routines that Add/Delete STOLEN affect only the customer file. Thus, these routines read the specified request data (check ID/status), and either retrieve or, for the add routine, create a corresponding customer record. The customer record is updated using the roll routine, and then rolled to STOLEN (add function) or to CAUTION (delete function) using the status roll subroutine. The updated customer record is written to the customer file, and a confirmation response is written to the specified response data location. The routine terminates with a stop request sent to the System Kernal.

The routines that Add/Delete PREAPPROVED and MANAGER ONLY operate to set/clear the corresponding user flags in the customer record in a manner analagous to the Add/Delete STOLEN routine. That is, these routines roll/update the corresponding customer record, set/clear the specified user flag, and then provide an appropriate confirmation response.

For the global update function, the host Data Manager Task receives negative status and selected customer records from all the remote systems, and executes a host global update fundtion. Host negative status and selected customer records are then sent to the remote Data Manager Task which executes a remote global update function. The global update function is implemented by the remote Event Manager Task which executes a global update event/activity (see Section 3.5).

The criteria for selecting records for transfer in connection with global update are:

-   -   (a) Negative Status File—All records accessed since the previous         host/remote file transfer for global update (NEGATIVE or CASH         ONLY status); and     -   (b) Customer File—All customer records accessed since the         previous host/remote file transfer for global update, and having         a status value of CAUTION, NEGATIVE, CASH ONLY or STOLEN.         Since a remote location only accesses (updates) the negative         status records for its location, each remote only transfers to         the host negative status records for its location. The host         global update function necessarily accesses each negative status         record transferred by a remote during a global update session,         so that all such records are transferred back to each remote         (along with the host location negative status records that were         accessed as a result of local host operation.

FIG. 9 f is a program flow diagram for the host global update function for the negative status file. After receiving and decoding the appropriate intertask request packet (containing the global update request from the remote Event Manager TAsk), the host Data Manager Task dispatches (508) to the Host Global Update (Negative Status) execution routine 600.

For each negative status record received (602) from a remote location, the host searches (604) its negative status file for a corresponding negative status record for that remote location. If it does not exist, the remote record is copied (607).

If a corresponding host record is retrieved (606), the host NEGATIVE status (Active or Inactive) is replaced (608) with the remote NEGATIVE status from the remote negative status record, and the host BAD Frequency/$Amount is replaced (610) with the remote BAD Frequency/$Amount. The Access Date/Time is then rolled (612) current.

The updated (or copied) host negative status record for the remote location is written (614) to the negative status file, and the negative status file is searched (616) to determine if it contains any NEGATIVE status Active records for that customer for any locations (including the remote negative status record just processed).

If not (i.e., if NEGATIVE status for that customer is Inactive at all locations), the corresponding customer record is retrieved (618) from the customer file. The record is updated by the roll routine (620), and rolled to previous status (622). The updated customer record (with its tranfer date updated current) is then written (624) back to the customer file.

The Global Update (Negative Status) routine terminates with stop request sent (626) back to the requesting remote Event Manager Task (see Section 3.5).

FIG. 9 g is a program flow diagram for the host global update function for the customer file. After receiving and decoding the appropriate intertask request packet (containing the global update request from the remote Event Manager Task), the host Data Manager Task dispatches (508) to the Host Global Update (Customer) execution routine 630.

For each customer record received from the remote (632), the host searches (634) its customer file. If a corresponding customer record does not exist, one is created (636) with the local DWT Frequency/$Amount set to zero.

If a corresponding host customer record is retrieved (635), it is updated (638) in accordance with the roll routine in FIG. 9c. If status is CAUTION, POSITIVE or STOLEN, the status for the updated host customer record is compared (640) with the status for the remote customer record. If status is different, the host assigns (642) status in accordance with predetermined arbitration rules, and updates its customer record accordingly. (If either host or remote status is NEGATIVE, global update is accomplished through the Global Update routine for negative status records.) The host updates DWT Frequency/$Amount in the host customer record by adding (644) to the host DWT Frequency and $Amount the Transfer Frequency and $Amount totals from the remote customer record, and then selecting (646, 648, 649) the greater of the host or remote DWT Frequency/$Amount totals.

Finally, the host customer file is updated by writing (650) the host customer record (with its transfer date updated current) to disk, and a stop request is sent (652) to the remote Event Manager Task.

Once the host has completed updating its negative status file (FIG. 9 f) and its customer file (FIG. 9 g) for each negative status and customer record transferred by the remote, the remote then requests that the host transfer to the remote the host negative status and selected customer records that have been accessed since the previous transfer. That is, the same criteria that the remote used in selecting records for transfer are used to select host records for transfer back to the remote.

Since for each remote record transferred to the host, the host performs an update operation that changes Access Date/Time, the host-to-remote file transfer will necessarily result in all such updated records being retransmitted back to the remote. In addition, the host will transfer to the remote NEGATIVE status and selected customer records accessed and updated by the host during either (a) local-host verification or update operations, or (b) a host global update operation initiated by another remote.

The remote receives the negative status and customer records transferred from the host, and performs a global update of its customer database. As described in Section 3.5, the remote Event Manager Task requests host records from the host Data Manager Tasks, and then sends them to the remote Data Manager Task with a global update request.

The remote global update function for the negative status file is based on two criteria: (a) for remote-location negative status records, the remote record is assumed to be correct and the host record is ignored; and (b) for other-location negative status records, the host record is assumed to be correct and it is copied without any update or other access by the remote. After receiving and decoding the appropriate intertask request packet (containing the global update request for the host negative status record from the remote Event Manager Task), the remote Data Manager Task dispatches to the Remote Global Update (Negative Status) execution routine that implements these global update operations.

FIG. 9H is a program flow diagram for the remote global update function for the customer file. After receiving and decoding the appropriate intertask request packet (containing the global update request from the remote Event Manager Task), the remote Data Manager Task dispatches (508) to the Remote Global Update (customer) execution routine (660).

For each customer record received (662), the remote determines (664) whether it has a corresponding customer record, and if not, creates (666) one with the local DWT Frequency and $Amount data set to zero. An existing remote customer record is retrieved (665), and DWT Frequency/$Amount rolled (668) current. The remote then compares (670) its global DWT Frequency/$Amount with the corresponding totals from the host customer record, and if the remote totals are greater, rolls (672) the Access Date/Time current. Updating the Access Date/Time for the customer record insures that that record will be transferred back to the host during the next remote/host file transfer session. If the host transactional data is greater, then the Access Date/Time is not changed.

If status is CAUTION, POSITIVE or STOLEN, the status for the updated remote customer record is compared (674) to the host customer record status, and if different, the remote assigns (675) status in accordance with predetermined arbitration rules. (If either host or remote status is NEGATIVE, global update is accomplished through the host global update function for negative status records.)

The updated customer record (with its transfer date updated current) is written (676) to the customer file, and a stop request is sent (678) to the host System Kernal.

The arbitration rules used by the host during global update to assign status (642 in FIG. 9G and 675 in FIG. 9H) for customer records in the case of a conflict between host and remote status are a matter of design choice and routine program implementation. The recommended criteria for specifying arbitration rules are (a) where either the host or the remote indicates POSITIVE and the other indicates CAUTION, the POSITIVE status value is selected; (b) where either the host or the remote indicates STOLEN, the STOLEN status is selected; and (c) NEGATIVE status is not arbitrated.

The database operations associated with purge and backup are also handled by the Data Manager Task. These functions are implemented as event activities by the Event Manager Task. In response to requests from the corresponding event activity routine, the Data Manager Task retrieves the specified records and processes them in accordance with conventional record delete (purge) or copy (backup) operations. Thus, for backup, the Event Manager Task provides a backup key [status/access date/time], and all records accessed since the last backup are copied to a backup file. For purge, a purge routine operates analogously to the roll routine (FIG. 9 c) in reading purge limits from the system control file and comparing them against a purge interval defined by the last access date/time, deleting (or copying off-line) those records that meet the predetermined purge criteria.

3.4. Terminal Manager Task. The Terminal Manager Task manages the communication of requests/responses between the transaction terminals and the transaction processor, implementing a token ring local area network. In implementing token ring data communications, the Terminal Manager Task sequentially polls each transaction terminal using the token ring protocol described in Section 1.2.

When request data (such as check ID/$Amount) are entered into a transaction terminal, the transaction terminal responds to its next POLL token by transmitting TXDATA answer packet including the request to the Terminal Manager Task, which writes the request data into the corresponding terminal buffer.

For each request received from a transaction terminal, the Terminal Manager Task spawns a terminal request subtask that:

-   -   (a) Builds a System Kernal service request for the request         entered into the transaction terminal;     -   (b) Sends the service request to the responding task through the         System Kernal;     -   (c) Receives response data from the responding task;     -   (d) Builds the appropriate response from the response data; and     -   (e) Sends the response to the transaction terminal.         The responding task depends upon the request function code         entered into the termina. (See Section 2.2) Most of the request         functions are for the Data Manager Tasks because they involve         customer database access. However, requests to the other tasks         for diagnostic or system information can be made from a         transaction terminal.

At system initialization, the Terminal Manager Task: (a) Initializes the 32-port network communications interface (116 in FIG. 1A); (b) Allocates TXBUFFER, RXBUFFER and LASTDATA terminal buffers for each of 32 allowable terminals; and (c) Allocates two poll state flags, Poll/Data and Wait, for each of 32 allowable terminals. The TXBUFFER buffer holds TXDATA transmitted by the terminal, while the RXBUFFER buffer holds RXDATA to be sent to the terminal. The LASTDATA buffer contains selected data from the last request transmitted by or the last response received by the terminal (used to hold data that might be used in the next terminal request).

For the preferred embodiment, no attempt is made to deallocate terminal buffers/flags for those communications ports that do not have an active, on-line transaction terminal. This design choice does not require any significant memory allocation for the 32-terminal configuration of the preferred embodiment. Such deallocation procedures are a matter of routine program implementation.

FIG. 10A is a program flow diagram of the token ring network communication function implemented by the Terminal Manager Task.

The Terminal Manager Task continually monitors (702) its task queue, which is maintained by the System Kernal. Through the System Kernal, system and diagnostic requests can be written into the queue for execution by the Terminal Manager Task. That is, in response to a TMT request (such as a system diagnostic or system information request) written into its queue, the Terminal Manager Task calls (703) a corresponding routine that executes the request.

If no TMT request has been written into the task queue, the Terminal Manager Task begins a token polling sequence (704, 706).

A token polling sequence is accomplished by sequencing through the terminal addresses 0-31. During each polling sequence the Terminal Manager Task polls all 32 ports without regard to whether a port has an active, on-line transaction terminal coupled to it, provided however, that an active terminal in a Wait state (i.e., waiting to receive requested data) is not polled.

The Event Manager Task makes no attempt to segregate active and inactive communications ports, or to remove from the polling sequence terminal addresses not assigned to active, on-line transaction terminals. This design choice does not significantly impact network communications for the 32 terminal configuration of the preferred embodiment. An active-terminal-only pulling scheme would be a matter of routine program implementation.

Terminal addresses are determined as follows. During each polling sequence, the Terminal Manager Task polls each of the 32 ports—beginning with Port 0, a POLL token (including the corresponding terminal address between 0 and 31) is broadcast and the Task waits until either (a) an answer packet is received, or (b) a time-out period transpires, before sending the next POLL. When a transaction terminal signs on, its internal network communication software causes an [ENTER TERMINAL ID] message to be displayed. The terminal operator is supposed to enter a number between 0 and 31 that is uniquely assigned to that terminal; however, the internal software processes the terminal ID entry using modulo 31, so that any numeric entry is forced into the 0-31 range.

For each terminal address the Terminal Manager Task determines (710) the polling state of the corresponding transaction terminal—Poll, Wait, or Data.

If the terminal is in the Poll state, the Terminal Manager Task sends (712) a POLL token for that transaction terminal (i.e., a token that includes the corresponding terminal address). The POLL is received by the addressed terminal, and recognized as an invitation to transmit data. The polled terminal transmits either a TXDATA answer (including request data) or a NODATA answer. If a NODATA answer is returned (714), the Terminal Manager Task continues with the polling sequence. If the polled terminal transmitted request data in TXDATA answer (715), the Terminal Manager Task writes (716) the request data into the corresponding terminal buffer, sets (718) the terminal Wait state flag, and spawns (720) a terminal request subtask to execute the request, and then continues the polling sequence.

During execution of the request, while the requesting terminal is in the “Wait” state, the Terminal Manager Task does not poll that terminal, but rather, continues with the polling sequence.

Once a request has been executed and the response data placed in the terminal buffer for the requesting transaction terminal, the request subtask sets the terminal Data state flag. During the next poll sequence, the Terminal Manager Task reads (722) the response from the terminal buffer and sends (724) an RXDATA token that includes the response.

When the token poll sequence is completed (i.e., terminal address 31), the task queue is checked (702) to determine whether any system or diagnostic TMT requests have been written into the queue. If not, a new polling sequence is commenced (704).

When the operator enters the terminal ID, the network software watches for that terminal address—when a POLL with that address is received, the network software waits for a time-out to determine whether another terminal has that address. If not, the network software grabs the next POLL with that address and commences normal network communications.

For the preferred embodiment, the POLL token is one byte (0-7):

Bit 7 Token Flag (set if POLL token; otherwise clear) Bits 5-6 TX-POLL token RX-RXDATA token Bits 0-4 Terminal address All data communications over the network are in 7 bit ASCII (0-6), so that only the POLL token uses bit 7. The answer packets are also one byte:

Bit 7 Not used Bits 0-6 TXDATA NODATA The TXDATA byte is followed by up to 40 characters of data in 7-bit ASCII (0-6), with a single END of data byte (ASCII carriage return). Finally, the RXDATA token [Token Flag Set/RX/Terminal Address] is followed by up to 40 characters of data, with the next POLL token designating END of data.

Thus, in operation, a transaction terminal watches the network for its POLL token (with its terminal address). When its POLL is received it sends back either a NODATA answer byte, or a TXDATA byte followed by up to 40 characters of data terminated in an END character. If the terminal is waiting for response data, so that it has been placed in a Wait state, it will not receive a POLL token. When response data is available, the Terminal Manager Task will retrieve the data from the terminals' RXBUFFER and transmit it with the next TXDATA token.

This implementation for a token ring network is a matter of design choice. Other implementations are a matter of routine program design. Commercial token ring program packages are available.

To execute a request sent by a transaction terminal during a polling sequence, the terminal request subtask first determines which function is requested, and then dispatches to an appropriate service request routine that:

-   -   (a) Builds a service request;     -   (b) Sends the service request to the responding task (via the         System Kernal);     -   (c) Builds an appropriate response from the response data         returned by the responding task; and     -   (d) Writes the response into the appropriate terminal buffer.         In addition, for a verify request, the verify service request         routine determines whether any “CALL MANAGER” limits have been         exceeded, and if so, causes the “CALL MANAGER” response to be         returned to the terminal.

From Section 3.2, a service request is in the following format:

-   -   Requesting task ID     -   Responding task ID     -   Function code     -   Address of request data location     -   Address for response data location     -   Semaphore flag         The service request is sent to the System Kernal, which builds a         corresponding intertask request packet.

The responding task that executes the request depends upon the function code. Of course, most function codes will be executed by the Data Manager Task because they involve accessing in some way the customer database.

After execution of the request, the response data returned by the responding task depends upon the request function code. The Data Manager Task returns updated customer or negative status records in response to verify/query requests and confirmations in response to local status update functions and global update functions.

Exemplary terminal request subtask operation is described in connection with a verify request in which the responding task is the Data Manager Task.

FIG. 10B is a program flow diagram for a terminal request subtask that implements a verification or query status request, to which the response from the Data Manager Task is an updated customer record. The subtask first reads (732) the TXBUFFER terminal buffer for the transaction terminal, parses (734) the request data to identify the function code (verify) and the other request data (check ID and $Amount).

The subtask then dispatches (736) the request to a verify service request routine specified by the verify function code.

The service request subroutine builds (740) an appropriate service request addressed to the Data Manager Task (the responding task), which is sent (742) to the System Kernal.

The terminal request subtask then suspends execution and monitors (744) the semaphore flag specified in the service request. The semaphore flag is set by the System Kernal in response to a stop request from the Data Manager Task, indicating that the request has been executed and response data (a customer record) written to the response data location specified in the service request.

The terminal request subtask then reads (746) the response data, and builds an appropriate response for the requesting terminal. For the verify (and query status) requests, the corresponding service request routine builds a response from the customer record (response data) only after testing (750) corresponding user flags and CALL MANAGER limits. These user flag and CALL MANAGER operations are not required for other function service requests (such as query negative, local status update or global update).

The first operation in building an appropriate verification response from the customer record returned by the Data Manager Task is to test the MANAGER ONLY flag (752). If that flag is set, the verify service request routine builds (754) a MANAGER ONLY response regardless of customer status, and without testing any CALL MANAGER limits.

If the MANAGER ONLY user flag is clear, the next operation is to test the PREAPPROVED flag (756). If the flag is set, and customer status is POSITIVE (758), a normal (i.e. PREAPPROVED) response is built (762) without regard to any CALL MANAGER limits. If customer status is other than POSITIVE, the PREAPPROVED flag is ignored and CALL MANAGER limits are tested.

After testing the user flags, the next operation in building a response for a verify request is to test the CALL MANAGER limits (760) for the customers status and DWT data. The DWT Frequency/$Amount CALL MANAGER limits appropriate for the customer's status are read from the system control file and compared with DWT Frequency and $Amount from the customer record. If any CALL MANAGER limit is exceeded, CALL MANAGER RESPONSE is built (764) regardless of status. If no limits are exceeded, the normal response for that status is built (762).

As described in Section 2.3 and 2.10, the CALL MANAGER limits are used to place predetermined transactional limits (DWT Frequency/$Amount) on a check transaction primarily for customers with CAUTION and POSITIVE status. These limits are set as a matter of store policy, and placed in the system control file during system configuration.

For function requests other than verify and query status, the user flag and CALL MANAGER operations (750) are not included in the service request routine, and a normal response is automatically built (762) from the response data read (746) from the specified response data location.

The response—MANAGER ONLY, PREAPPROVED, CALL MANAGER or [Normal]—is written (766) into the appropriate terminal buffer, and when the terminal's RXBUFFER buffer is full, the terminal Data state flag is set (768) to indicate that a response is in the terminal's RXBUFFER buffer and should be sent to the terminal in the next polling sequence. The terminal request subtask then terminates (770).

The basic operation of the terminal request subtask for each request function is as described in connection with FIG. 10B for the verify request, except that the service request routines for request functions other than verify do not implement the user flag or “CALL MANAGER” response functions (750).

3.5. Event Manager Task. The Event Manager Task manages background activities that are executed automatically without operator intervention, maintaining an Event File that includes an Event Table, an Activity Table and associated indices. The Event Table includes event records each specifying an event time, an event interval and associated activity pointers into the Activity Table. The Activity Table includes a list of activity codes.

The basic activities implemented by the Event Manager Task are:

-   -   (a) Host/Remote Communications—These activities transfer         customer records and negative status records between host and         remote systems for global update;     -   (b) Purge—These activities, one for each status, delete customer         records and negative status records that are obsolete based on         specified purge limits contained in the system control file; and     -   (c) Backup—These activities are regularly invoked to backup the         customer and negative status files.         The host/remote communications and backup activities operate         only on those customer records or negative status records that         are accessed (i.e., that have their transfer dates updated)         after the last corresponding activity was performed. Host/remote         communications are implemented in connection with the Modem         Manager Task.

The Event Table contains an event record for each event, with each event record including: (a) an event interval specifying the interval between execution of the associated event activities; (b) the next event time, calculated by the event subtask after completing execution of an event/activity based on the event interval and the system clock; (c) up to 10 activity pointers into the Activity Table; (d) active/inactive flag set or cleared by a start/stop function request (F950 and 951 in Table 4); and (e) diagnostic abort flag that is tested during event/activity executin by the event subtask, and can be used to abort an event/activity.

In its basic operation, the Event Manager Task sequences through the events (event records) in the Event Table, spawning a corresponding event subtask to execute the specified activity.

Event/activities are started and stopped using a transaction terminal to enter a corresponding request (see the function codes 950 and 951 described in Section 2.2 and set forth in Table 4). After entry of a start/stop request at a transaction terminal, the Terminal Manager Task (terminal request subtask) addresses a service request to the Event Manager Task through the System Kernal. The Event Manager Task receives the service request from its task queue, executes the request by correspondingly modifying the event file, and returns an appropriate response to the Terminal Manager Task.

While event frequency for a given activity is a matter of store policy and design choice, typically, host/remote communications and backup will be performed fairly frequently to insure both the regular update of the customer database, and the ability to recover from a system failure without significant loss of data. On the other hand, the purge function is more a matter of system administration designed to control the size of the customer database. Indeed, the purge function can be omitted as an event activity. In that case, the status purge limits contained in the system control file define the reset/CAUTION interval used in the roll routine to roll all statuses back to CAUTION if the specified reset/CAUTION (i.e., purge) limits are exceeded, as described in connection with FIG. 9 b.

The selection and timing of event-driven activities is a matter of design choice. The recommended event-driven activities, and the associated event intervals, are:

Host/Remote File Transfer Every 15 minutes System Backup Every 10 minutes Database Purge Every 24 hours

The Event Manager Task sequences through the event file, selecting the specified event-driven activities on a read-next basis. Event times are specified as time intervals starting from a baseline system time 00:00:00:00:00:00 [yymmddhhmmss] for Jan. 1, 1970 (the transaction processor includes a battery assisted hardware clock synchronyzed to this baseline system time).

When an event time is reached, and the associated activity is completed, the event time is incremented by the event interval, based on the previous event time and not on when the activity was actually completed. For example, if host/remote file transfers to support global update activities (i.e., transfers of negative status records and selected customer records are to be accomplished every 15 minutes, then each activity is entered into the event file with an interval of 15:00[mmss]. The activity will be entered into the event file, along with its event interval and its initial event time of 15 minutes after system initialization (assumed to be 00:00[mmss]). The activity will then first be executed at 15:00, and when the activity is completed, the associated event time will be incremented to 30:00.

At initialization, the Event Manager Task opens the Event Table and Activity Table, and clears all semaphore flags. Thereafter, the Event Manager Task sequences through the Event Table, spawning event subtasks at specified event times to execute corresponding activities. While a given event may have several activities associated with it, only one event subtask (and only activity within an event record) is executed at a time.

FIG. 11A is a program flow diagram for the Event Manager Task. The task continually monitors (802) the Event Manager Task queue, to determine if any EMT requests have been received from the System Kernal. These requests may be for diagnostic or system information purposes. If so, the appropriate system routine is executed (804).

If the task queue is empty, the Event Manager Task tests the event-active semaphore (810) to determine whether an event is active. If so (semaphore set), the task checks the task queue (802).

If no event is active (semaphore clear), the Event Manager Task reads (812) the next event record from the Event File, and compares (814) the event time in the event record with the current system time. If the event is greater than or equal to the system time, the Event Manager Task spawns (816) an event subtask to execute the activities associated with the event (sending a subtask request to the System Kernal).

The Event Manager Task then the task reads (812) the next event/activity from the event file.

If the event time for the next event/activity is greater than or equal to the current time (814), the Event Manager Task spawns (816) an Event Subtask to execute the event/activity.

FIG. 11B is a program flow diagram for the event subtask. At the appropriate event time, the Event Manager Task spawns the event subtask, which receives (822) the current event record from the Event Table. The current event record includes a current event time and an activity pointer to each of up to 10 associated activities identified in the Activity Table. The event subtask sequentially executes each activity associated with the current event time.

Event subtask operation will be described in connection with executing at a remote system the activities associated with the global update function. Specifically, the event subtask will be described in connection with sequentially executing the following global update activities:

-   -   (a) Originate call;     -   (b) Send customer records (all selected statuses);     -   (c) Send negative status records (NEGATIVE and CASH ONLY);     -   (d) Receive customer records (all selected statuses); and     -   (e) Receive negative status records (NEGATIVE and CASH ONLY).         That is, each of the send/receive activities reads all selected         statuses. When the remote event subtask receives the event         record containing the event time pointers into the Activity         Table, it sets (824) the event-active semaphore (810 in FIG. 11         a), preventing the Event Manager Task from spawning another         event subtask. The subtask then initiates an activity sequence         (826, 828). Using the activity pointer in the Event Table, the         subtask sequentially reads (826) activity codes from the         Activity Table. The activity codes are read on a read-next         basis, with each read operation being tested to determine when         the last activity in the sequence is completed (828).

For each activity code read from the Activity Table, the event subtask dispatches (830) to a corresponding activity routine for execution.

Each activity routine includes an activity data control data block containing certain fixed and/or variable data used by the routine in executing the activity. Thus, for the global update event, the originate call routine includes in its activity control data block the phone number for the host (as well as other system numbers that may be called by the remote) and a corresponding log-in ID. The send/receive record routines include in their respective activity control data blocks the previous event time for the activity which defined the end of the previous event interval for that activity.

Thus, the current event interval for a global update (send/receive) activity is defined by the previous event time in the activity routine's control data block, and the current event record. After execution of the activity, the current event time is written into the activity routine's control data block to define the beginning of the next global update event interval. (A similar control data block operation is used for the backup activity.)

A global update event begins at a remote system with an originate call activity that directs the remote Modem Manager Task (MMT) to establish a communications link to the host. This activity is dispatched to an originate call routine (840) for execution.

The originate call routine begins by building and sending to the remote Modem Manager Task a request (842) to dial the host—the MMT request includes a dial function code and the request data location into which the originate call routine writes the host telephone number, together with a specified semaphore flag. The originate call routine waits on a response from the Modem Manager Task (843), periodically testing the stop semaphore flag. When the specified semaphore flag is set by the Modem Manager Task indicating that the host has been dialed and is in an off-hook condition opening a communications line, the originate call routine builds and sends to the remote Modem Manager Task a request (844) to send a log-in ID to the host Modem Manager Task, writing the log-in ID into a specified request data location. The originate call routine then waits on the specified stop semaphore flag being set (845). When the specified semaphore flag is set, indicating that the remote Modem Manager Task has completed log-in to the host system and established an active communications link, the originate call routine terminates by setting (846) a modem flag to indicate that a communications link is active, and then returns (826) to the event subtask for execution of the next activity.

The event subtask reads (826) the code for the next activity in the global update activity sequence—the send customer record activity.

The event subtask dispatches (830) to the corresponding send customer record routine (850). The routine first reads (852) the previous ending event time from its control data block to provide an initial customer record retrieval key to be used by the remote Data Manager Task (DMT) to retrieve a customer record from the customer record file. The retrieval key includes two fields [check ID/transfer date/time]—each is used by the Data Manager Task to sequence through the customer record file (incrementing check ID first and then transfer date/time).

The send customer record routine builds and sends to the Data Manager Task a request (854) to retrieve by the retrieval key the first customer record meeting the criteria for transfer to the host during the current activity—any customer record that was accessed (updated) during the current event interval at any time after the time specified in the retrieval key (initially, the ending time for the immediately preceding event interval during which customer records were transferred to the host). The routine writes the initial retrieval key (with check ID set to zero) into the specified request data location to provide the DMT with the initial customer record retrieval key for the current event interval. The send customer record routine then waits (855) on the specified stop semaphore flag being set by the Data Manager Task.

The Data Manager Task receives the initial customer record retrieval request, and dispatches it to a corresponding customer record retrieval routine. This routine reads the initial record retrieval key (including the ending time for the previous event interval which is the beginning time for the current event interval) from the specified request data location, and using this initial key and the index [status/transfer date/check ID], retrieves the first customer record with an access date/time equal to or greater than the beginning event time (if more than one customer record has the same access date/time, then the customer record with the lowest check ID is retrieved). When the Data Manager Task retrieval routine has retrieved this first customer record in the current event interval, it provides an appropriate response to the send customer record routine, writing the retrieved customer record into the specified response data location and sending a stop request to the System Kernal.

When the stop semaphore is set (855), the send customer record routine reads the retrieved customer record from the specified response data location, and determines (858) that the Data Manager Task has returned a customer record. The routine then extracts (859) the transfer date/time and check ID from the retrieved customer record, and determines (860) that the current event time, which defines the end of the current global update event interval, is greater than the transfer date/time for the retrieved customer record, thereby confirming that the retrieved customer record was accessed during the current event interval.

The send customer record routine then sends a global update service request to the host Data Manager Task, along with the just-retrieved remote customer record, through the remote Modem Manager Task (862). The routine then waits (863) on the specified stop request being sent, along with a response (acknowledgement), by the host Data Manager Task through the host Modem Manager Task and the remote Modem Manager Task to, respectively, the remote System Kernal and the specified response data location in the data area for the remote event subtask.

The above remote/host intertask communication operation is described in greater detail in Section 3.6 (Modem Manager Task). Essentially, the Modem Manager Task is designed so that remote/host intertask communications is essentially transparent to the requesting and responding tasks. That is, the remote/host requesting task sends a service request with request data and a stop semaphore to its System Kernal addressed to the host/remote responding task. The remote/host Modem Manager Task provide an essentially transparent communications link between the remote/host System Kernals to effect the return of the stop semaphore and response data from the host/remote responding task to the remote/host requesting task.

When the send customer record routine detects (863) the specified stop semaphore flag being set, it requests (854) the Data Manager Task to retrieve the next customer record in the current global update event interval, writing the transfer date/time and check ID extracted (859) from the just-sent customer record into a request data location to provide a new retrieval key for the DMT.

As with the first customer record retrieved in the current event interval, the Data Manager Task dispatches this request to a customer record retrieval routine that reads the new retrieval key from the specified request data location, and using the index [status/transfer date/check ID], searches the customer file by incrementing first check ID and then transfer date/time until the next record is retrieved. The DMT retrieval routine then responds to the customer record retrieval request, writing the retrieved customer record into the specified response data location for the send customer record routine.

This procedure—requesting a customer record using the transfer date/time and check ID for the previous record as the retrieval key, retrieving that customer record by reading the customer file using the retrieval key, sending the retrieved customer record to the host, and requesting the next customer record—continues until either (a) the remote Data Manager Task responds to a retrieve customer record request from the send customer record routine by indicating that the customer file contains no other customer records accessed after the just-sent customer record (as detected in step 858), or (b) the send customer record routine determines that the customer record retrieved by the Data Manager Task has a transfer date/time after the current event time (which defines the end of the current global update event interval as determined in steps 859, 860). In either case, the send customer routine returns to the event subtask (826), which reads the next activity from the activity table.

After the activity for sending customer records (by selected status) has executed, the next activity specified in the Event Table is for sending negative status records (both NEGATIVE and CASH ONLY status). The corresponding routine in the event subtask for executing the send negative status record activity operates identically to the send customer record routine (850) in retrieving negative status records accessed during the current global update event interval from the negative status file and sending those records to the host.

After negative status records have been sent, the receive customer records and negative status records activities are executed. Because of the essential transparency of the remote/host communications operation using the host/remote Modem Manager Tasks, the receive activity is analogous to the send activity. The remote receive record activity routine requests records from the host Data Manager Task. The host Data Manager Task responds with globally updated records that are sent by the remote routine to the remote DMT for remote global update.

When the last send/receive activity for the global update function at the current event time has been completed (i.e., the last receive negative status record routine has completed transferring negative status records from the host Data Manager Task to the remote Data Manager Task for global update), that routine returns to the event subtask, which determines that the current event time contains no more activities to be executed (826) so that the activity sequence is complete (828). The event subtask then checks the modem flag (870) to determine whether any communications link is active. In the present description of an exemplary operation of the event subtask to execute a global update function, the originate call routine (840) connects to the host and sets the event subtask modem flag (846).

Accordingly, at the completion of the activity sequence for the global update function, the event subtask detects that the modem flag is set (870) and requests the Modem Manager Task (872) to disconnect from the host. The event subtask monitors its semaphore flag (873) until notified by the remote Modem Manager Task that the communications link to the host has been terminated. When the semaphore flag is set, the event subtask clears (874) the modem flag, and then clears (876) the event active semaphore in the Event Manager Task. Finally, the event subtask (a) calculates the new event time for the event record based on the event interval and writes it into the event record, and (b) writes the current event time into its control data block for access during the next event/activity execution.

If the event subtask had been executing an event time and associated activity sequence in which communications was not necessary, such as backup or purge, the event subtask detects that the modem flag is clear (870). In that case, the event subtask would immediately clear the event active semaphore (876) and terminate (878).

3.6 Modem Manager Task. The Modem Manager Task manages modem communications, primarily to support host/remote file transfer for global update, but also for remote diagnostic purposes. Operation for host/remote file transfer depends in part upon whether the modem manager task is running in the host or remote check transaction processing system—all host/remote file transfers are initiated and controlled by the remote system.

Modem communications through the Modem Manager Task are essentially transparent to the other tasks, functionally operating as an extension of the normal intertask communications using intertask service requests. Thus, the remote Event Manager Task sends service requests to the host Data Manager Task through: the remote System Kernal, the remote Modem Manager Task, the host Modem Management Task and finally the host System Kernal. Similarly, the host Data Manager Task responds with a reply, including response data and a stop request, over the same host/remote communications path.

For remote-to-host file transfers, the remote Event Manager Task first issues a dial host request to the remote Modem Manager Task, which the Modem Manager Task executes by dialing the host Modem Manager Task and detecting an off-hook condition at the host. When the remote Event Manager Task is notified by a stop semaphore that a connection has been made, it requests the Modem Manager Task to send a Log-In ID to establish an active communications link. The remote Event Manager Task then issues a service request to the host Data Manager Task, which is directed by the remote System Kernal into the Modem Manager Task queue. The Modem Manager Task reads the request and sends it to the host system, where the host Modem Manager Task transfers the request to the host Data Manager Task through the host System Kernal. The host Data Manager Task responds with a reply that includes a stop request—this response is communicated through the host/remote Modem Manager Task link to the remote Event Manager Task.

At system initialization, the Modem Manager Task opens its communications port, and conducts modem start-up diagnostic tests.

FIG. 12 is a program flow diagram for the Modem Manager Task. The task continually monitors (902) its task queue to detect either (a) intertask request packets written into the queue by the System Kernal, or (b) a ring indication. When an intertask request packet is written into the Modem Manager Task queue, the Task reads (906) the packet, and decodes the function code and dispatches (910) the request to an appropriate modem control routine: Dial, Send, Disconnect and Reset. A communications session will always be initiated with a Connect request directed to the Modem Manager Task, which executes the request by dialing the number specified by the request data (typically the host), and in conjunction with the host Modem Manager Task, establishing a line connection between the two systems.

Typically, when the remote Event Manager Task is advised (with a stop semaphore) by the Modem Manager Task that the host answered the call and a line connection is made, the Event Manager Task sends, via the Modem Manager Task a Log-In ID that establishes an active communications link between the two systems. Once an active communications link is established, the remote/host file transfer procedure for communicating negative status and customer records is as follows.

The remote Event Manager Task sends a request for global update of a record to the host Data Manager Task, writing the record into a specified request data location. The remote System Kernal builds an intertask request packet and routes it to the remote Modem Manager Task. The Modem Manager Task reads (920) the request data from the location specified in the intertask request packet, and builds (922) a corresponding communications packet, including both the request and the request data. The communications packet is sent (924) to the host Modem Manager Task, and the remote Modem Manager Task waits for a reply.

When the Modem Manager Task receives (928) a reply from the host, which includes both response data (such as an acknowledgement) and a stop request, the response data is written (920) to the specified location for response data, and the stop request is sent (929) to the System Kernal, which sets the appropriate semaphore flag.

This communication procedure is continued so long as requests are sent to the Modem Manager Task (920). A remote/host file transfer session is terminated by the remote Event Manager Task sending to the remote Modem Manager Task a disconnect request (916).

The host and remote Modem Manager Tasks cooperate to establish a communications link as follows. A communications session is initiated by a dial request from the remote Event Manager Task is directed to the remote Modem Manager Task, which reponds by dialing the host.

A ring indication at the host modem is detected (908) by the host Modem Manager Task, which directs the modem into an off-hook condition (930), establishing a remote/host connection.

The remote Event Manager Task then sends an appropriate log-in identification (932).

File transfer communications are commenced when the host Modem Manager Task receives (934) a communications packet from the remote Modem Manager Task. The host Modem Manager Task builds (936) a corresponding service request that is sent (938) to the host System Kernal.

The service request is directed to the designated responding task, such as the host Data Manager Task, which executes the request and provides both response data and a stop request. The host Modem Manager Task reads (940) the stop request from its queue, and reads (942) the response data from the specified location.

The host Modem Manager Task then builds (944) an appropriate reply packet (including the response data and the “stop” request), and sends (946) the reply to the host Modem Manager Task. The next communication to the host Modem Manager Task will either be a Disconnect instruction (948) or another commnications packet.

The Modem Manager Task implements remote/host communications functions in a manner that is essentially transparent to the other tasks and the System Kernal. That is, intertask communications between a remote task and a host task are accomplished in a manner identical to intertask communications between tasks running in the same check transaction processing system, except that both the remote and the host System Kernal are involved in the intertask communication, as are the remote and host Modem Manager Tasks.

4.4. Alternative Embodiments

While the check transaction processing system has been described in connection with a preferred embodiment, other embodiments within the spirit and scope of the invention as defined by the following claims will be apparent to those skilled in the art.

For example, in the case of multiple-store systems, the preferred embodiment includes separate, essentially autonymous check transaction processing systems at each store site, thereby permitting each store to establish and maintain an essentially local customer database, and limiting off-site data communications activities to remote/host file transfers for global update. However, the local customer database (and associated disk system) need not be located at the store site, but may be remote from the stores' transaction terminal network (such as by locating it in a central office) so long as: (a) transaction terminal response time is not adversely affected and, (b) the essentially local character of the customer database for each is maintained.

The preferred embodiment's implementation of a multitasking system using a System Kernal for task-switching and intertask communications, can be readily adapted to operate under a commercial, multi-tasking operating system. These operating systems provide the task switching and intertask message communications functions performed by the System Kernal. Adapting the CTPS multi-tasking program to a commercially available multi-tasking operating system is well within the programming capabilities of those skilled in the art. Each program task would be modified in a conventional manner to accomodate the specific message communication function implemented by the multi-tasking operating system.

Accordingly, it is to be understood that the invention encompasses any modifications or alternative embodiments that fall within the scope of the appended claims.

TABLE 1 CUSTOMER RECORD SPECIFICATION Field Name Description char id customer's bank id char status current status (CAUTION, NEGATIVE, POSITIVE, CASH ONLY, STOLEN) char flags id user flags [PREAPPROVE, MANAGER ONLY] long curr date last access date long last date last transfer date long statdate date status changed int hitcnt local total hit count char hitfreq local hit count frequency, previous 7 days long amtfreq local amount frequency, previous 7 days long amount local last dollar amount verified long totamt local total dollar amount verified long date local access time int hitcnt global total hit count char hitf req global total hit count frequency, previous 7 days long amtfreq global amount frequency, previous 7 days long amount global last dollar amount verified long totamt global total dollar amount verified long date global access time char status previous status before current int lhitcnt previous local hit count long ltotamt previous local dollar amount int ghitcnt previous global hit count long gtotamt previous global dollar amount long statdate previous status date int hitcnt total hits since last transfer long totamt total dollars since last transfer

TABLE 2 NEGATIVE STATUS RECORD SPECIFICATION Field Name Description char id customer's bank id char COlocid location showing CASH ONLY char Nlocid location showing negative char Nstatus current record status NEGATIVE CHAR COstatus current record status CASH ONLY long currdate current access date long COstatdate date became CASH ONLY long Nstatdate date became negative int hitcnt total bad checks against location long totamt total bad dollars against location

TABLE 3 SYSTEM CONTROL FILE SPECIFICATION Field Definition int hitcnt hit count limit long amount dollar amount limit VfyLimit char locid system id int port keypad comm port int pollcnt keypad poll counter limit int recvcnt kaypad poll receive limit keypad int port modem comm port value char tone tone/pulse dial mode modem long strttime system start time (machine turned on) long currtime current system time char errfile error filename char loggile screen log filename char password system access password char flags system control flags sysinfo char dayflag flag for day/second roll limits long ctnroll caution to positive limit long ctnhim caution purge limit long neglim negative purge limit long poslim positive purge limit long colim cashonly purge limit long sclim stolen purge limit database VfyLimit dmax day maximum call manager limits VfyLimit wmax week maximum call manager limits VfytLimit tmin total minimum call manager limits callmgr[5]

TABLE 4 FUNCTION CODE SPECIFICATION Function: F1 Description: Query ID, displaying current data Keypad Input: [id] F1 Keypad Output: Status Dhitcnt Whitcnt Thitcnt $totamt StatDate ID Function: F2 Description: List Negative Locations for entered ID Keypad Input: [id] F2 Keypad Output: NEG LOCATIONS LOC1 LOC2 LOC3 . . . LOC10 Function: F3 Description: Query Negative location ID as found on F2 Keypad Input: [id] F3 $n *n - LOCn as shown on F2 display Keypad Output: Neg Inquiry LOCn Thitcnt $totamt negdate Function: F4 Description: Query Location ID Keypad Input: [id] F4 Keypad Output: LOC locid locname Function: F5 Description: Query ID Hitcounts and Dollar Amounts Keypad Input: [id] F5 Keypad Output: Status Dhitcnt; amount Whitcnt; amount Thitcnt; amount Function: F40 Description: Add Cashonly ID Keypad Input: id F40 Keypad Output: CASH ONLY FILE id Function: F41 Description: Add Stolen ID Keypad Input: id F41 Keypad Output: STOLEN FILE id Function: F42 Description: Add Preapproved ID Keypad Input: id F42 Keypad Output: PREAPPROVED Function: F43 Description: Add Manager Only Keypad Input: id F43 Keypad Output: MANAGER ONLY id Function: F44 Description: Add Negative ID with location Keypad Input: id F44 Keypad Output: NEGATIVE FILE id Function: F55 Description: Verify ID. If F55 is not included, verify is assumed Keypad Input: id [F55] Keypad Output: *if any limits are exceeded: CALL MANAGER id *status is caution: CAUTION hitcnt id *status is negative: NEGATIVE id *status is positive: POS Dhitcnt Whitcnt Thitcnt id *status is cashonly: CASH ONLY id *status is stolen: STOLEN id Function: F60 Description: Delete Cashonly ID Keypad Input: id F160 Keypad Output: CHECKS ACCEPTED id Function: F61 Description: Delete Stolen ID Keypad Input: id F61 Keypad Output: CHECKS ACCEPTED id Function: F66 Description: Add Positive ID. Remove stolen list Keypad Input: id F66 Keypad Output: PAID OFF FILE id Function: F77 Description: Login to system to gain access to privileged commands Keypad Input: id F77 Keypad Output: Login Valid Begin Session Function: F62 Description: Delete Preapproved Keypad Input: id F62 Keypad Output: PREAPPROVED Function: F43 Description: Delete Manager Only Keypad Input: id F63 Keypad Output: MANAGER ONLY Function: F88 Description: Logout from system Keypad Input: F88 Keypad Output: End Session Bye! Function: F900 Description: Return System Author Information Keypad Input: F900 Keypad Output: CVS v4.20 (c) 1989 CVC, by Scott Wood, CCP Function: F901 Description: Return System Internal Date & Time Keypad Input: F901 Keypad Output: System Date mm/dd/yy - hh:mm:ss Function: F902 Description: Return System Memory Usage Keypad Input: F902 Keypad Output: System Memory b Bytes Free Function: F903 Description: Return Disk Usage Keypad Input: n F903 *n − 3 = Drive C *n − 4 = Drive D Keypad Output: Disk Usage (CID) Bytes: n Total, n Free Function: F904 Description: Return ID Database Size Keypad Input: F904 Keypad Output: ID Database n Records Function: F905 Description: Return Negative ID Database Size Keypad Input: F905 Keypad Output: Negative dBase n Records Function: F906 Description: Return System Information depending on n Keypad Input: n F906 Keypad Output: *n-0 - System ID Location ID locid *n=1 - Keypad Data Keypad Info Port:n, Poll:n, Recv:n *n=2 - Modem Data Modem Info Port 0:n, Port 1:n *n=3 - System Start Time Start Time mm/dd/yy - hh:mm:ss *n=4 - System Current Time Current Time mm/dd/yy - hh:mm:ss *n=5 - System Password Password passid *n=6 - System Flags Flags n *n=7 - Caution Roll Period Caution Roll n seconds *n=8 - Caution Purge Limit Caution Limit n seconds *n=9 - Negative Purge Limit Negative Limit n seconds *n=10 - Positive Purge Limit Positive Limit n seconds *n=11 - CashOnly Purge Limit CashOnly Limit n seconds *n-12 - Stolen Purge Limit Stolen Limit *n=13 - Caution Call Manager Limits Caution Callmgr Dhitcnt,amount - Whitcnt,amount - Thitcnt,amount *n=14 - Negative Call Manager Limits Negative Callmgr Dhitcnt,amount - Whitcnt,amount - Thitcnt,amount *n=15 - Positive Call Manager Limits Positive Callmgr Dhitcnt,amount - Whitcnt,amount - Thitcnt,amount - *n=16 - Cashonly Call Manager Limits Cashonly Callmgr Dhitcnt,amount - Whitcnt,amount - Thitcnt,amount - *n=17 - Stolen Call Manager Limits Stolen Callmgr Dhitcnt,amount - Whitcnt,amount - Thitcnt,amount - Function: F940 Description: Toggle Screen Logging Keypad Input: n F940 *n=0:Off, 1:On Keypad Output: Screen Log (ON|OFF) Function: F950 Description: Start Event Activity for event n Keypad Input: n F950 [mmddmmss] *n=event number Keypad Output: Event n Stopped Function: F951 Description: Stop Event Activity for event n Keypad Input: n F951 Keypad Output: Event n Stopped Function: F952 Description: Get Event Activity for event n Keypad Input: n F952 *n=event number Keypad Output: mm/dd/yy - hh:mm:ss act1 act2 act3 . . . act10 Function: F953 Description: Get Activity Status for activity n Keypad Input: n F953 *n=event number Keypad Output: activity description activity data Function: F960 Description: Toggle Keypad Debug Mode Keypad Input: n F960 *n=0:Off, 1:On Keypad Output: Keypad Debut (ON|OFF) Function: F961 Description: Return Keypad number associated with current pad Keypad Input: F961 Keypad Output: Keypad Number n Function: F970 Description: — Keypad Input: F970 Keypad Output: Modem Debug (ON|OFF) Function: F971 Description: Reset Modem Keypad Input: F971 Keypad Output: Reset Modem Function: F980 Description: Toggle Data Manager Debug Mode Keypad Input: n F980 *n=0:Off, 1:On Keypad Output: DataBase Debug Function: E981 Description: Open database system if currently closed Keypad Input: F981 Keypad Output: Open dBase Function: F982 Description: Close database system if currently open Keypad Input: F982 Keypad Output: Close dBase 

What is claimed is:
 1. A system for accumulating customer transaction data at the point-of-sale in a retail establishment and for effectuating customer promotion on the basis thereof, comprising: a terminal for entering unique customer identification codes from customer identification presented at the point-of-sale in a retail transaction; means for allowing entry of customer transaction data; a processor and a memory responsive to said terminal and said means allowing entry for creating a database for a plurality of the store's customers' transaction data from prior shopping visits, such that data regarding individual customer's prior transactions are stored in association with said individual customer's unique identification code; and circuitry responsive to said processor, memory, and database for generating a customer information response signal at the point-of-sale during said individual customer's transaction in said retail establishment upon detection of a unique identification code of said individual customer, said signal being related to said individual customer's transaction data in shopping visits prior to the current shopping visit, and said signal providing information at said point-of-sale terminal derived from said database and useful for effectuating targeted customer promotion.
 2. A system according to claim 1, wherein said circuitry generates said customer information response signal as a function of analysis by said circuitry of said individual customer's transaction data following said detection of said unique identification code of said individual customer.
 3. A system for accumulating and using customer transaction data at the point-of-sale in a retail establishment comprising: apparatus for entering unique customer identification codes from customer identification presented at the point-of-sale in said retail establishment; a terminal for entering customer transaction data at the point-of-sale in said retail establishment; a processor and a memory responsive to said apparatus and said terminal for creating a database for a plurality of the store's customers' transaction data from prior shopping visits, such that data regarding individual customer's prior transactions are stored in association with said individual customer's unique identification code; and circuitry associated with said memory and responsive to the entry of said individual customer's identification code during a transaction at the point-of-sale, said circuitry being operable to generate a customer information response signal at the point-of-sale representative of said individual customer's transaction history prior to the current shopping visit, said signal providing information at said point-of-sale terminal derived from said database and useful for effectuating targeted customer promotion.
 4. A system according to claim 3, wherein said circuitry generates said customer information response signal as a function of analysis by said circuitry of said individual customer's transaction data following said entry of said individual customer's identification code.
 5. A method for accumulating and using customer transaction data at the point-of-sale in a retail establishment comprising the steps of: entering unique customer identification codes from customer identification presented at the point-of-sale in a retail transaction; entering customer transaction data; creating a database for a plurality of the store's customers' transaction data from prior shopping visits, such that data regarding individual customer's prior transactions are stored in association with said individual customer's unique identification code; and generating a customer information response at the point-of-sale during said individual customer's transaction in said retail establishment upon detection of a unique identification code of said individual customer, said response signal being related to said individual customer's transaction data in shopping visits prior to the current shopping visit, and said response providing information at said point-of-sale derived from said database and useful for effectuating targeted customer promotion.
 6. A method according to claim 5, wherein said generating step includes the step of generating said customer information response as a function of analysis of said individual customer's transaction data following said detection of said unique identification code of said individual customer.
 7. A method for accumulating and using customer transaction data at the point-of-sale in a retail establishment comprising the steps of: entering unique customer identification codes from customer identification presented at the point-of-sale in a retail establishment; entering customer transaction data at the point-of-sale in said retail establishment; creating a database for a plurality of the store's customers' transaction data from prior shopping visits, such that data regarding individual customer's prior transactions are stored in association with said individual customer's unique identification code; accessing said database in response to the entry of said individual customer's identification code during a transaction at the point-of-sale; determining from said database the transaction history of said individual customer; and generating a customer information response at the point-of-sale representative of said individual customer's transaction history prior to the current shopping visit, said response providing information at said point-of-sale derived from said database and useful for effectuating targeted customer promotion.
 8. A method for providing customer services in a retail establishment, comprising the steps of: entering into a point-of-sale terminal a unique identification code for a customer; entering into said terminal transaction data relating to the customer's shopping transactions; generating and maintaining a database, including the step of correlating said transaction data with said unique identification code; responding to entry, during a current transaction, of said unique identification code for a customer by analyzing said transaction data of the customer, including data in said database from prior transactions, with or without data from the current transaction, in order to generate a response which is a function of said data in said database from prior transactions, and by supplying said response to said terminal during said current transaction in which said unique identification code is entered, said response including information for effecting a targeted promotion to the customer.
 9. A computer implemented system for providing a signal at a point-of-sale depending upon a customer's shopping history, comprising: a terminal for entering, during a transaction, a unique customer identification; a database storing transaction data from prior transactions for a plurality of customers, such that data regarding a customer's prior transactions are stored in association with an identification of that customer; circuitry responsive to the entry of said unique customer identification at said terminal during said transaction for transmitting to said point-of-sale during said transaction a customer information response signal; and wherein said customer information response signal depends upon data stored in said database indicating dollar amount of at least one prior purchase associated with said unique customer identification.
 10. The system of claim 9 wherein said customer information response signal depends upon dollar amount of a plurality of prior purchases associated with said unique customer identification.
 11. The system of claim 9 wherein said customer information response signal also depends upon a frequency of prior purchases associated with said unique customer identification.
 12. The system of claim 9 wherein said terminal can also receive customer transaction data.
 13. The system of claim 9 wherein said data regarding said individual customer's prior transactions stored in association with said individual customer's identification in said database includes transaction frequency and dollar amount.
 14. The system of claim 9 wherein said database stores the date that transaction data association with said unique customer identification was updated.
 15. The system of claim 9 wherein said terminal is in a first retail store, said database is a first store database, and said first store database is located at said first retail store.
 16. The system of claim 15 further comprising: a second store database local at a second retail store, said second store database storing transaction data from prior transactions at said second store for a plurality of customers, such that data regarding a customer's prior transactions are stored in said second store database in association with a unique identification of that customer; and a global database storing transaction data from prior transactions in both said first retail store and said second retail store.
 17. The system of claim 16 further comprising at least one data connection, said at least one data connection enabling transmission of data stored in said first store database and said second store database to said global database, and enabling transmission of data from said global database to each one of said first store database and said second store database.
 18. The system of claim 17 configured to update customer records in said first store database based upon data stored in said global database.
 19. The system of claim 17 configured to update customer records in said first store database based upon data stored in said global database for transactions that occurred in said second retail store.
 20. The system of claim 19 configured to update customer records in said first store database based upon data transmitted to said global database from said second store database for transactions that occurred in said second retail store.
 21. The system of claim 19 configured to update customer records in said second store database based upon data stored in said global database for transactions that occurred in said first retail store.
 22. A computer implemented method for providing a signal at a point-of-sale depending upon a customer's shopping history, comprising the steps of: entering in a terminal, during a transaction, a unique customer identification; storing, in a database, transaction data from prior shopping transactions for a plurality of customers, such that data regarding a customer's prior transactions are stored in association with said an identification of that customer; transmitting to a point-of-sale during said transaction a customer information response signal in response to the entry of said unique customer identification at said terminal during said transaction; and wherein said customer information response signal depends upon data stored in said database indicating dollar amount of at least one prior purchase associated with said unique customer identification.
 23. The method of claim 22 wherein said customer information response signal depends upon dollar amount of a plurality of prior purchases associated with said unique customer identification.
 24. The method of claim 22 wherein said customer information response signal also depends upon a frequency of prior purchases associated with said unique customer identification.
 25. The method of claim 22 further comprising the step of receiving in said terminal customer transaction data.
 26. The method of claim 22 wherein said data regarding said individual customer's prior transactions stored in association with said individual customer's identification in said database includes transaction frequency and dollar amount.
 27. A computer implemented customer database comprising stored transaction data from prior transactions for a plurality of customers, such that data regarding a customer's prior transactions are stored in association with an identification of that customer, said transaction data stored in association with said identification of that customer including: total dollar amount of purchases purchased during a period of time; wherein said period of time is one of a day and a week.
 28. The database of claim 27 wherein said transaction data stored in association with said identification of that customer further comprises a number of transactions associated with an identification of a customer.
 29. The database of claim 27 wherein said transaction data stored in association with said identification of that customer further comprises a frequency of transactions.
 30. The database of claim 27 wherein said transaction data stored in association with said identification of that customer further comprises a frequency of transactions for a specified period of time associated with an identification of a customer.
 31. The database of claim 27 wherein said specified period of time is one of a day and a week.
 32. A computer implemented system comprising: computer implemented customer database comprising stored transaction data from prior point-of-sale transactions, said stored transaction data comprising: (1) data for a first customer such that data regarding said first customer's prior transactions are stored in a first customer record associating a first customer identification of said first customer with at least a first customer first dollar amount; and (2) data for a second customer such that data regarding said second customer's prior transactions are stored in a second customer record associating a second customer identification of said second customer with at least a second customer first dollar amount; a point of sale terminal; a digital data processor; and wherein said system is programmed to respond to transaction information received from the point of sale terminal including said first customer identification by identifying said first customer record in said database, and returning to said point of sale terminal a first customer information response signal; wherein a value of said first customer information response signal depends at least in part upon data stored in said first customer record, including at least said first customer first dollar amount.
 33. The system of claim 32 wherein a value of said first customer information response signal also depends at least in part upon data stored in said first customer record, including at least a first customer second dollar amount.
 34. The system of claim 33 wherein a value of said first customer information response signal also depends at least in part upon data stored in said first customer record, including at least a first customer third dollar amount.
 35. The system of claim 32 wherein a value of said first customer information response signal also depends at least in part upon data stored in said first customer record, including at least a first customer first frequency value.
 36. The system of claim 35 wherein a value of said first customer information response signal also depends at least in part upon data stored in said first customer record, including at least a first customer second frequency value.
 37. The system of claim 36 wherein a value of said first customer information response signal also depends at least in part upon data stored in said first customer record, including at least a first customer third frequency value.
 38. The system of claim 33 wherein a value of said first customer information response signal also depends at least in part upon data stored in said first customer record, including at least a first customer first frequency value.
 39. The system of claim 38 wherein said signal also depends at least in part upon data stored in said first customer record, including at least a first customer second frequency value.
 40. The system of claim 32 wherein said signal also depends at least in part upon data stored in said first customer record, including at least a first customer first status value.
 41. The system of claim 40 wherein said signal also depends at least in part upon data stored in said first customer record, including at least a first customer first flag value.
 42. The system of claim 32 wherein said signal also depends at least in part upon data stored in said first customer record, including at least a first customer first time value. 